Proposal system, proposal method, and program

Abstract

To provide a proposal system, a proposal method, and a program capable of proposing appropriate service on a building according to a degradation degree of the building.SOLUTION: A proposal system is provided with: a measured data acquisition section acquiring measured data on a waterproof sheet installed outside of a building; a calculation section calculating a degradation degree of the waterproof sheet from the measured data on a basis of first relation information showing a relation between the measured data and the degradation degree of the waterproof sheet; a proposal information generating section generating proposal information showing a service using the degradation degree of the waterproof sheet calculated with the calculation section on a basis of second relation information showing a relation between proposal candidate information showing candidates of a service on the building to be proposed to a customer and the degradation degree of the waterproof sheet; and an output section outputting the proposal information generated with the proposal information generating section.SELECTED DRAWING: Figure 26

Description

Technical Field

[0001] The present invention relates to a proposal system, a proposal method, and a program.

Background Art

[0002] Buildings that have aged require maintenance due to deterioration. For example, when the waterproof sheet installed on the exterior of a building deteriorates, if maintenance is not performed, water leakage may occur, and in some cases, the value of the building itself may be damaged. Therefore, deterioration diagnosis of waterproof sheets is being carried out (for example, Patent Document 1).

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] If the degree of deterioration of the waterproof sheet can be quantitatively obtained, a housing contractor can propose appropriate maintenance to customers according to the degree of deterioration. On the other hand, when the degree of deterioration requires replacement of the waterproof sheet, it is considered that the building itself has aged. If a housing contractor can propose services related to the building, such as maintenance, to the residents who are the customers at an appropriate time, the measurement of the degree of deterioration of the waterproof sheet can be linked to the proposal of a comfortable living space. Thus, it is required to be able to propose appropriate services for a building according to the degree of deterioration of the building.

[0005] The present invention has been made in view of the above points, and provides a proposal system, a proposal method, and a program that can propose appropriate services for a building according to the degree of deterioration of the building.

Means for Solving the Problems

[0006] That is, the present invention includes the following aspects. [1] A measurement data acquisition unit that acquires measurement data for a waterproof sheet constructed outside a building, a calculation unit that calculates the degree of deterioration of the waterproof sheet from the measurement data based on first relationship information indicating the relationship between the measurement data and the degree of deterioration of the waterproof sheet, which is the degree of deterioration of the waterproof sheet, candidate proposal information indicating candidates for services to be proposed to a customer for the building, and based on second relationship information indicating the relationship between the degree of deterioration of the waterproof sheet and the candidate proposal information, a proposal information generation unit that generates proposal information indicating the service from the degree of deterioration of the waterproof sheet calculated by the calculation unit, and an output unit that outputs the proposal information generated by the proposal information generation unit. A proposal system comprising: [2] The second relationship information indicates the relationship between building information, which is information about the building, the candidate proposal information, and the degree of deterioration of the waterproof sheet, and the proposal information generation unit generates the proposal information from the degree of deterioration of the waterproof sheet calculated by the calculation unit and the building information based on the second relationship information. The proposal system according to [1] above. [3] The second relationship information indicates the relationship between the degree of deterioration of the waterproof sheet, the building information, and the candidate proposal information, and the proposal information generation unit generates the proposal information from the degree of deterioration of the waterproof sheet calculated by the calculation unit and the building information based on the second relationship information. The proposal system according to [2] above. [4] The building information includes neighboring building information indicating the degree of deterioration of neighboring buildings of the building, the candidate proposal information includes waterproof sheet work, exterior wall painting work, and renovation, and the second relationship information includes the relationship between the degree of deterioration of the waterproof sheet and the neighboring building information and the relationship between the neighboring building information and the candidate proposal information. The proposal information generation unit generates the proposal information from the degree of deterioration of the waterproof sheet calculated by the calculation unit and the neighboring building information based on the second relationship information. The proposal system according to [3] above. [5] The second relationship information includes third relationship information indicating the relationship between the waterproof sheet deterioration degree and the building information, and fourth relationship information indicating the relationship between the building information and the candidate proposal information. The proposal information generation unit calculates the building information calculated from the waterproof sheet deterioration degree calculated by the calculation unit based on the third relationship information, and generates the proposal information from the calculated building information based on the fourth relationship information. The proposal system according to [2]. [6] The building information includes the building deterioration degree, which is the degree of painting of the building or the deterioration degree of external members. The third relationship information indicates the relationship between the waterproof sheet deterioration degree and the building deterioration degree. The fourth relationship information indicates the relationship between the building deterioration degree and the candidate proposal information. The proposal information generation unit calculates the building deterioration degree calculated from the waterproof sheet deterioration degree calculated by the calculation unit based on the third relationship information, and generates the proposal information from the calculated building deterioration degree based on the fourth relationship information. The proposal system according to [5]. [7] The candidate proposal information includes services other than the service for the waterproof sheet. The proposal system according to [5]. [8] The proposal system according to [2] further includes an estimate calculation unit that calculates an estimate of the cost of the service indicated by the proposal information based on the proposal information generated by the proposal information generation unit. [9] The proposal system according to [1] further includes a display screen generation unit that generates a screen for causing the waterproof sheet deterioration degree.

[10] The proposal system according to [1] further includes a display screen generation unit that generates a screen for displaying the proposal information on a display device.

[11] The display screen generation unit generates an application screen for applying for the service indicated by the proposal information. The proposal system according to

[10] .

[12] The calculation unit calculates, as the waterproof sheet deterioration degree, one or more of the ratio to the reference value and the elapsed years calculated based on a predetermined relationship between the waterproof sheet deterioration degree and the elapsed years. The proposal system according to [1].

[13] A computer obtains measurement data on a waterproof sheet installed outside a building, calculates the degree of deterioration of the waterproof sheet from the measurement data based on first relationship information indicating the relationship between the measurement data and the degree of deterioration of the waterproof sheet, which is the degree of deterioration of the waterproof sheet, and based on second relationship information indicating the relationship between candidate proposal information indicating candidates for services to be proposed to a customer regarding the building and the degree of deterioration of the waterproof sheet, generates proposal information indicating the service from the calculated degree of deterioration of the waterproof sheet, and outputs the generated proposal information. A proposal method for executing the above.

[14] A program for causing a computer to obtain measurement data on a waterproof sheet installed outside a building, calculate the degree of deterioration of the waterproof sheet from the measurement data based on first relationship information indicating the relationship between the measurement data and the degree of deterioration of the waterproof sheet, which is the degree of deterioration of the waterproof sheet, generate proposal information indicating the service from the calculated degree of deterioration of the waterproof sheet based on second relationship information indicating the relationship between candidate proposal information indicating candidates for services to be proposed to a customer regarding the building and the degree of deterioration of the waterproof sheet, and output the generated proposal information.

Advantages of the Invention

[0007] According to the present invention, an appropriate service for a building can be proposed according to the degree of deterioration of the building.

Brief Description of the Drawings

[0008]

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MODE FOR CARRYING OUT THE INVENTION

[0009] Hereinafter, embodiments of the present invention will be described with reference to the drawings. (First Embodiment) FIG. 1 is a block diagram showing a configuration example of the measuring device according to the present embodiment. In FIG. 1, a waterproof sheet 110 is constructed outside the building 100 (for example, on the roof, rooftop, veranda, etc.). An example of the waterproof sheet 110 is made of vinyl chloride. The measuring device 1 measures the degree of deterioration of the waterproof sheet 110.

[0010] The near-infrared device 120 irradiates the waterproof sheet 110 with near-infrared rays 121 and receives the reflected light 122 from the waterproof sheet 110. The near-infrared device 120 outputs, as measurement data A, the output signal of the light-receiving element that receives the reflected light 122 from the waterproof sheet 110 to the measurement device 1. The measurement data A is data indicating the reflection intensity of the reflected light in the near-infrared region from the waterproof sheet 110.

[0011] The measurement device 1 includes an input unit 11, an acquisition unit 12, an estimation unit 13, and an output unit 14.

[0012] Each function of the measurement device 1 is realized by the measurement device 1 including computer hardware such as a CPU (Central Processing Unit) and a memory, and the CPU executing a computer program stored in the memory. Note that the measurement device 1 may be configured using a general-purpose computer device, or may be configured as a dedicated hardware device. For example, the measurement device 1 may be configured using a server computer connected to a communication network such as the Internet. Also, each function of the measurement device 1 may be realized by cloud computing. Further, the measurement device 1 may be realized by a single computer, or the functions of the measurement device 1 may be distributed and realized by a plurality of computers.

[0013] The input unit 11 receives the measurement data A of the waterproof sheet to be measured. The acquisition unit 12 acquires, from the measurement data A received by the input unit 11, the reflection intensity of the reflected light in the near-infrared region from the waterproof sheet to be measured for each of a plurality of energy bands. The acquisition unit 12 outputs, to the estimation unit 13, data (estimation unit input data) B indicating the reflection intensity for each of the acquired plurality of energy bands.

[0014] The estimation unit 13 estimates deterioration information C indicating the degree of deterioration of the waterproof sheet to be measured from the estimation unit input data B input from the acquisition unit 12.

[0015] Specifically, the estimation unit 13 includes an estimation model MDa. The estimation model MDa is a model that is machine-learned by a machine learning algorithm to estimate deterioration information indicating the degree of deterioration of a waterproof sheet, using learning data obtained from the learning waterproof sheet, where the reflection intensity of the reflected light in the near-infrared region is obtained from each of a plurality of energy bands, and correct data indicating the known degree of deterioration of the learning waterproof sheet. The learning data and the estimation unit input data B are data of the reflection intensity obtained from each of the same plurality of energy bands.

[0016] The correct data and the deterioration information may be, for example, damage data of the waterproof sheet. The damage data of the waterproof sheet is, for example, the breaking strength, the residual amount of the plasticizer, or the like.

[0017] In the present embodiment, as an example of the machine learning algorithm, PLS (Partial Least Square Regression) is used. According to PLS, with respect to the problem that the number of dimensions, which is an issue of spectral data, is too large, the amount of calculation can be reduced by the dimension reduction effect, which is a feature of PLS, so that the calculation load of the measuring device 1 can be suppressed and high-speed processing becomes possible. Note that a machine learning algorithm other than PLS may be used.

[0018] By inputting the estimation unit input data B into the estimation model MDa by the estimation unit 13, the deterioration information C is output from the estimation model MDa. The deterioration information C is data indicating the estimation result of the degree of deterioration of the waterproof sheet to be measured.

[0019] The output unit 14 converts the deterioration information C of the waterproof sheet to be measured into data in an output format (deterioration degree measurement result output data) D. The output unit 14 outputs the deterioration degree measurement result output data D.

[0020] The output unit 14 may output, from the deterioration information C of the waterproof sheet to be measured, the ratio with respect to the degree of deterioration at which replacement of the waterproof sheet is necessary. The degree of deterioration at which replacement of the waterproof sheet is necessary is set in the measuring device 1 in advance.

[0021] The output unit 14 may output information "equivalent to X years elapsed" of a value X equivalent to the number of years elapsed of the waterproof sheet based on the typical deterioration rate from the deterioration information C of the waterproof sheet to be measured. The correspondence relationship between the degree of deterioration of the waterproof sheet and the value X equivalent to the number of years elapsed of the waterproof sheet based on the typical deterioration rate is set in the measuring device 1 in advance. For example, the measuring device 1 may include a conversion table for converting the remaining amount of plasticizer into a value X equivalent to the number of years elapsed of the waterproof sheet, and the output unit 14 may derive the value X equivalent to the number of years elapsed using the conversion table from the estimated remaining amount of plasticizer. Further, the output unit 14 may output a value (%) indicating the remaining durability value from the deterioration information C of the waterproof sheet to be measured. Further, the output unit 14 may output a value (%) indicating the accumulated deterioration damage amount from the deterioration information C of the waterproof sheet to be measured.

[0022] FIG. 2 is a block diagram showing a configuration example of the model generation device according to the present embodiment. The model generation device 3 shown in FIG. 2 generates an estimation model MDa used in the measuring device 1 shown in FIG. 1.

[0023] The model generation device 3 includes an input unit 31 and a learning unit 32.

[0024] Each function of the model generation device 3 is realized by the model generation device 3 including computer hardware such as a CPU and a memory, and the CPU executing a computer program stored in the memory. Note that the model generation device 3 may be configured using a general-purpose computer device, or may be configured as a dedicated hardware device. For example, the model generation device 3 may be configured using a server computer connected to a communication network such as the Internet. Further, each function of the model generation device 3 may be realized by cloud computing. Further, the model generation device 3 may be realized by a single computer, or the functions of the model generation device 3 may be distributed and realized by a plurality of computers.

[0025] The input unit 31 receives a set of learning data Ga and correct data GT. The learning data Ga is data obtained by acquiring the reflection intensity of reflected light in the near-infrared region from the learning waterproof sheet from the measurement data A obtained from the learning waterproof sheet in the same manner as the measurement data A shown in FIG. 1 for each of a plurality of energy bands. The correct data GT is data indicating the known degree of deterioration of the learning waterproof sheet of the same set of learning data Ga.

[0026] The input unit 31 outputs the received learning data Ga and correct data GT to the learning unit 32.

[0027] The learning unit 32 performs machine learning of the machine learning model MD by a machine learning algorithm so as to estimate deterioration information indicating the degree of deterioration of the waterproof sheet using the learning data Ga input from the input unit 31 and the correct data GT of the learning data Ga. The machine learning model MD that has undergone machine learning by the learning unit 32 is used in the measuring device 1 as the estimation model MDa.

[0028] In this embodiment, PLS is used as an example of the machine learning algorithm, but a machine learning algorithm other than PLS may be used.

[0029] The measurement method according to this embodiment will be described with reference to FIG. 3. FIG. 3 is a flowchart showing an example of the procedure of the measurement method according to this embodiment.

[0030] (Step S1) The measuring device 1 receives the measurement data A of the waterproof sheet to be measured. The measurement data A is data indicating the reflection intensity of reflected light in the near-infrared region from the waterproof sheet 110.

[0031] (Step S2) The measuring device 1 acquires the reflection intensity of reflected light in the near-infrared region from the received measurement data A for each of a plurality of energy bands. The measuring device 1 obtains the estimation unit input data B indicating the reflection intensity for each of the acquired plurality of energy bands.

[0032] (Step S3) The measuring device 1 estimates deterioration information C indicating the degree of deterioration of the waterproof sheet to be measured from the estimation unit input data B. Specifically, the measuring device 1 inputs the estimation unit input data B into the estimation model MDa, and the deterioration information C is output from the estimation model MDa. The deterioration information C is data indicating the estimation result of the degree of deterioration of the waterproof sheet to be measured.

[0033] (Step S4) The measuring device 1 converts the deterioration information C of the waterproof sheet to be measured into output format deterioration degree measurement result output data D and outputs it. The measuring device 1 may output the ratio with respect to the degree of deterioration at which the waterproof sheet needs to be replaced from the deterioration information C of the waterproof sheet to be measured. The measuring device 1 may output the number of years elapsed of the waterproof sheet based on a typical deterioration rate from the deterioration information C of the waterproof sheet to be measured.

[0034] The model generation method according to this embodiment will be described with reference to FIG. 4. FIG. 4 is a flowchart showing an example of the procedure of the model generation method according to this embodiment.

[0035] (Step S11) The model generation device 3 receives a set of learning data Ga and correct answer data GT. The learning data Ga is data obtained by acquiring the reflection intensity of the reflected light in the near-infrared region from the learning waterproof sheet from the measurement data A obtained from the learning waterproof sheet for each of a plurality of energy bands. The correct answer data GT is data indicating the known degree of deterioration of the learning waterproof sheet of the same set of learning data Ga.

[0036] (Step S12) The model generation device 3 performs machine learning of the machine learning model MD by a machine learning algorithm so as to estimate deterioration information indicating the degree of deterioration of the waterproof sheet using the learning data Ga and the correct answer data GT of the learning data Ga. The machine learning model MD that has undergone machine learning by the model generation device 3 is used in the measuring device 1 as the estimation model MDa.

[0037] Next, the experimental results of measuring the degree of deterioration of the waterproof sheet using the measuring device 1 according to this embodiment will be described.

[0038] For the experiment, a waterproof sheet made of vinyl chloride was used. Also, the machine learning algorithm is PLS. In the experiment, the reflection intensity of the reflected light in the near-infrared region from the waterproof sheet was obtained from each of a plurality of energy bands. As the near-infrared region, the range from 1282.5 nm to 2499.5 nm was used. The wavelength resolution is 160 nm. As the plurality of energy bands, for the region from 1282.5 nm to 2499.5 nm, experiments were conducted respectively with five different numbers of representative wavelength points (that is, the number of energy bands), namely 3 cases (i.e., 3 energy bands), 4 cases (i.e., 4 energy bands), 5 cases (i.e., 5 energy bands), 6 cases (i.e., 6 energy bands), and 28 cases (i.e., 28 energy bands). As a result of this experiment, when the number of representative wavelength points is at least 6, that is, when there are 6 or more energy bands, sufficient measurement accuracy for the degree of deterioration of the vinyl chloride waterproof sheet was obtained.

[0039] Also, even when the range from 1282.5 nm to 1800 nm was used as the near-infrared region (the wavelength resolution is 160 nm), when the number of representative wavelength points is at least 6, that is, when there are 6 or more energy bands, sufficient measurement accuracy for the degree of deterioration of the vinyl chloride waterproof sheet was obtained. In addition, when using a general spectroscope, for example, data can be obtained every 0.1 nm from 1300 nm to 2500 nm, and such data resolution can be fully utilized. As examples of spectroscopes, a Fabry - Perot interferometric spectrometer, a diffraction grating spectrometer, a Michelson interferometric spectrometer, and a band - pass filter type spectrometer can be used.

[0040] The results of the above experiments are considered to be due to the fact that signals related to C-H bonds are included in the energy region used in the experiments, the amount of C-H bonds in the plasticizer decreases as the plasticizer decreases, and the amount of C-H bonds decreases when polyvinyl chloride oxidizes. From this, it can be said that the energy region used in the above experiments is an energy region in which the degree of deterioration of a vinyl chloride-based waterproof sheet can be efficiently measured. Here, more detailed signals can be obtained by measuring in the infrared region with a longer wavelength than near-infrared light, but infrared sensors are more expensive than near-infrared sensors. On the other hand, according to the present embodiment, since the degree of deterioration can be efficiently measured with sufficient accuracy using a relatively inexpensive near-infrared region sensor, a particularly high effect of very high practicality can be obtained. In addition, near-infrared sensors are easy to miniaturize in shape, so they are also convenient when used outdoors. On the other hand, infrared sensors are not easy to miniaturize in shape, and in this respect, the effect that near-infrared sensors can be used is great.

[0041] As described above, according to the present embodiment, it is only necessary to irradiate near-infrared light to the waterproof sheet constructed on the outside of the building and receive the reflected light, so that the degree of deterioration of the waterproof sheet can be measured without sampling a sample from the waterproof sheet. The effect that it can be measured is obtained.

[0042] In addition, by using PLS as a machine learning algorithm, the calculation amount can be reduced by the dimension reduction effect, which is a feature of PLS, with respect to the problem that the number of dimensions is too large, which is an issue of spectral data. Therefore, the calculation load of the measuring device can be suppressed and processing can be performed at high speed.

[0043] In addition, when the waterproof sheet is made of vinyl chloride, sufficient deterioration measurement accuracy can be obtained for the vinyl chloride-based waterproof sheet by acquiring the reflection intensity of the reflected light in the near-infrared region from at least 6 energy bands or more from the waterproof sheet.

[0044] A learning method for the machine learning model MD according to this embodiment will be described. In this embodiment, since it is constructed outside the building 100 (for example, on the roof, rooftop, veranda, etc.), the surface of the waterproof sheet 110 is directly exposed to external light and the atmosphere. Learning data Ga is generated from measurement data A obtained for a learning waterproof sheet whose such surface is directly exposed to external light and the atmosphere. By performing machine learning of the machine learning model MD using such learning data Ga and generating an estimation model MDa, even if the surface of the waterproof sheet to be measured is directly exposed to external light and the atmosphere, from the measurement data A of the waterproof sheet to be measured, deterioration information C indicating the degree of deterioration of the waterproof sheet to be measured can be estimated by the estimation model MDa. This point will be described below.

[0045] The degradation of resin materials in their actual usage environments ranges from functional group degradation to surface abrasion, and the scale is broad. On the other hand, in the near-infrared spectroscopy of resin materials, due to the characteristics of its wavelength region, while mainly containing information on the functional groups, crystals or amorphous regions of the resin as the main component, more macroscopic influences such as material damage and voids also appear. Also, because of its high permeability, a quantitative spectrum can be obtained without saturation without diluting or thinning the material. That is, according to the near-infrared spectrum of the resin material, a quantitative spectrum regarding the macro and micro structures of the resin material can be obtained. This is one of the major differences between the infrared spectrum mainly based on functional group information and the near-infrared spectrum of resin materials. Moreover, originally, the degradation of resin materials is an aggregate of phenomena on multiple scales that are correlated with each other. Therefore, when the primary structure changes, higher-order structures often change simultaneously. From this, it is highly likely that information regarding the degradation of resin materials is reflected in various forms such as peak and baseline changes in relation to the near-infrared spectrum. Also, in actual usage environments, degradation often progresses from the exposed surface. In near-infrared spectroscopy, the light that enters from the surface is repeatedly transmitted and reflected within the interior relatively close to the surface of the sample and then exits the surface again, and the diffuse reflection spectrum obtained by spectroscopy can be acquired without diluting the sample. From this, without cutting a part of the resin material to expose a fresh cross-section, just by acquiring the specular reflection or diffuse reflection spectrum of the resin material, there is a possibility of obtaining sufficient degradation information regarding the macro and micro structures from the surface to a certain depth of the resin material. As long as such information is included, even if it is obtained as data mixed with a large amount of noise, by combining machine learning, advanced information extraction can be realized, and it is considered possible to estimate degradation. For example, conventionally, in the optical sorting of mandarins, not only can the sugar content be estimated from a certain spectrum obtained in a single measurement from the peak of water, but also whether the peel has separated from the fruit can be determined from the difference in the transmittance of near-infrared light derived from scattering by voids in the fruit, and only the sweet and non-degraded fruits can be successfully sorted non-destructively. This is an application method that makes good use of the characteristic of near-infrared spectroscopy reflecting the micro and macro structures of the sample.This embodiment applies the structure of how to make use of the characteristics of near-infrared spectroscopy to a resin material.

[0046] A plurality of energy bands in the near-infrared region according to this embodiment will be described. FIGS. 28 and 29 are diagrams showing an example of the results of a simulation of machine learning according to this embodiment. The conditions of the simulations in FIGS. 28 and 29 are that the waterproof sheet is made of vinyl chloride and the machine learning algorithm is GA (Genetic Algorithm)-PLS. Also, in the simulation of FIG. 28, the search conditions in machine learning are that the search wavelength range is from 1282.5 nm to 2499.5 nm and the wavelength resolution is 160 nm. In the simulation of FIG. 29, the search conditions in machine learning are the cases where the search wavelength range is from 1282.5 nm to 1800.0 nm and from 1282.5 nm to 1600.0 nm, and the wavelength resolution is 160 nm. Also, it is assumed that the determination coefficient (R2CV), which is an index of prediction performance, being 0.7 or more is the determination condition for obtaining sufficient machine learning performance.

[0047] In the results of the simulation of FIG. 28, in the search wavelength range “from 1282.5 nm to 2499.5 nm”, when the number of representative wavelength points is 4 or more, that is, 4 energy bands or more, the determination coefficient (R2CV) is 0.7 or more, and sufficient machine learning performance can be obtained. Also, in the results of the simulation of FIG. 28, in the search wavelength range “from 1282.5 nm to 2499.5 nm”, if the number of representative wavelength points is 6, that is, there are 6 energy bands, it can be said that there is a combination of energy bands that is the optimal solution.

[0048] In the simulation results of Fig. 29, when the number of representative wavelengths is 6 or more, that is, when there are 6 or more energy bands, in the search wavelength range of "from 1282.5 nm to 1800.0 nm", the coefficient of determination (R2CV) is about 0.7, and sufficient machine learning performance can be obtained. On the other hand, in the search wavelength range of "from 1282.5 nm to 1600.0 nm", regardless of the number of representative wavelengths, the coefficient of determination (R2CV) cannot be obtained at about 0.7, and sufficient machine learning performance cannot be obtained.

[0049] From the simulation results of Figs. 28 and 29, it can be said that when the near-infrared region of "from 1282.5 nm to 2499.5 nm" is measurable, in order to obtain sufficient machine learning performance, 4 or more energy bands in the near-infrared region are required. Also, when the near-infrared region of "from 1282.5 nm to 1800.0 nm" is measurable, it can be said that 6 or more energy bands in the near-infrared region are required to obtain sufficient machine learning performance. On the other hand, when only the near-infrared region of "from 1282.5 nm to 1600.0 nm" can be measured, it can be said that sufficient machine learning performance cannot be obtained. Note that the wavelength resolution corresponds to the full width at half maximum of the light receiving element of the near-infrared device 120. Therefore, it can be said that the energy bands in the near-infrared region are separated by more than the full width at half maximum of the light receiving element of the near-infrared device 120.

[0050] An example of the deterioration degree measurement result output data D according to this embodiment will be described. The output unit 14 may output a value (damage risk evaluation value) indicating the relationship between the amount of plasticizer remaining in the waterproof sheet 110 and the damage risk of the waterproof sheet 110 from the deterioration information C of the waterproof sheet to be measured. When the amount of plasticizer remaining in the waterproof sheet 110 decreases, the damage risk of the waterproof sheet 110 increases. The more the damage risk of the waterproof sheet 110 increases due to the decrease in the amount of plasticizer remaining in the waterproof sheet 110, the more easily the waterproof sheet 110 is damaged when an external factor is applied to the waterproof sheet 110. For example, an example of the damage risk evaluation value is an evaluation value out of 100 points, where 70 points or more is "safe", the range from 70 points to 60 points is "caution", and 50 points or less is "dangerous".

[0051] Note that the measurement device 1 according to the present embodiment may be applied to the proposed system described later. The proposed system according to the present embodiment includes the measurement device 1, candidate proposal information indicating candidates for services for proposing to a customer about a building with a waterproof sheet constructed on the outside, and second relationship information indicating the relationship between the degree of deterioration of the waterproof sheet, and a proposal information generation unit that generates proposal information indicating the service from the degree of deterioration based on the second relationship information, and an output unit that outputs the proposal information generated by the proposal information generation unit. The second relationship information indicates the relationship between building information, which is information about the building, the candidate proposal information, and the degree of deterioration. The proposal information generation unit generates the proposal information from the degree of deterioration and the building information based on the second relationship information.

[0052] The building information may include information indicating the degree of deterioration of the paint or members on the outside of the building. The candidate proposal information may include a painting or member replacement service on the outside of the building. The proposal information may include information proposing a painting or member replacement service on the outside of the building. Since the deterioration of the waterproof sheet is considered to be strongly correlated with the deterioration of the external paint and the external members of the building, it is possible to estimate the timing of painting and member replacement on the outside of the building in the same way as the deterioration of the waterproof sheet.

[0053] The building information may include information indicating the degree of deterioration of facilities at least partially exposed outdoors. The candidate proposal information may include a replacement service for facilities at least partially exposed outdoors. The proposal information may include information proposing a replacement service for facilities at least partially exposed outdoors. Since the deterioration of the waterproof sheet is considered to be correlated with the deterioration of facilities such as water heaters, solar power generation, and intercoms, especially those with a part of the facilities exposed outdoors, it is possible to estimate the replacement timing of the facilities in the same way as the deterioration of the waterproof sheet.

[0054] The building information may include information indicating the degree of deterioration of the entire building. The candidate proposal information may include building renovation services. The proposal information may include information for proposing building renovation services. The deterioration of the waterproof sheet represents the harshness of the environment in which the entire building is placed and is considered to be correlated with the cost required for building renovation. Therefore, the cost required for building renovation can be estimated.

[0055] The proposal information generation unit may include a regression model based on building specifications or scale information. By providing a regression model (correlation model) based on information such as building specifications and scale, the accuracy of the proposal information can be improved. The building specifications are, for example, "three-story heavy steel frame", etc. The building scale is, for example, "200 square meters of floor area", etc. The regression model is generated by using the building specifications "heavy steel frame or lightweight steel frame and number of floors" and the building scale "floor area" as explanatory variables. The proposal information generation unit uses the regression model to predict the degree of building deterioration or to improve the accuracy of the prediction model in order to generate proposal information.

[0056] (Second Embodiment) [Configuration of Measurement System] FIG. 5 is a diagram showing an example of the configuration of the measurement system 1A according to the present embodiment. The measurement system 1A is a system for measuring the degree of deterioration of a waterproof sheet constructed outside a building. The measurement system 1A includes a measurement sensor 2A, a terminal device 3A, and a server 4A.

[0057] In the example shown in FIG. 5, a waterproof sheet B1 is constructed outside a building A1. The building A1 is, as an example, a building or a house. The outside of the building A1 is, as an example, the rooftop, roof, or veranda of the building A1. The user U1 is an operator who inspects the degree of deterioration of the waterproof sheet B1. The user U1 carries the measurement sensor 2A and the terminal device 3A. The user U1 goes up to the rooftop, roof, or veranda of the building A1 and measures the waterproof sheet B1 using the measurement sensor 2A.

[0058] The measurement sensor 2A irradiates the waterproof sheet B1 with irradiation light and measures the reflected light reflected by the waterproof sheet B1 from the irradiated light. As an example, the waterproof sheet B1 contains a vinyl chloride resin, a plasticizer, a stabilizer, an ultraviolet absorber, and other additives.

[0059] The measurement result by the measurement sensor 2A is output to the terminal device 3A as optical data C1. The terminal device 3A transmits the optical data C1 output from the measurement sensor 2A to the server 4A. The server 4A executes analysis based on the optical data C1 and calculates the degree of deterioration of the waterproof sheet B1. The server 4A outputs the calculated measurement result to the terminal device 3A. The said measurement result includes first deterioration information D1 indicating the degree of deterioration of the waterproof sheet B1. The terminal device 3A presents the measurement result to the user U1 by displaying the measurement result.

[0060] The terminal device 3A is, for example, a portable terminal device such as a tablet terminal, a notebook personal computer (PC), or a smartphone. The server 4A is, for example, a cloud server. Note that the server 4A may be a single physical server.

[0061] The measurement sensor 2A and the terminal device 3A communicate with each other by wireless communication, for example. The said wireless communication is, for example, short-range wireless communication or wireless communication using a LAN (Local Area Network). Note that the measurement sensor 2A and the terminal device 3A may be connected to each other by a cable and communicate by wired communication.

[0062] The terminal device 3A and the server 4A perform wireless communication via a wireless network, for example. The said wireless network is, for example, a mobile communication network.

[0063] Note that the measurement sensor 2A may have a communication function for communicating with the server 4A via a wireless network. In that case, the measurement sensor 2A directly transmits the optical data C1 to the server 4A without going through the terminal device 3A. Also, part of the analysis executed by the server 4A may be executed by the terminal device 3A. For example, all of the analysis executed by the server 4A may be executed by the terminal device 3A. In other words, the server 4A and the terminal device 3A may be configured as an integrated device. In that case, the terminal device 3A performs an analysis based on the optical data C1.

[0064] [Configuration of Measurement Sensor] FIG. 6 is a perspective view showing an example of the measurement sensor 2A according to the present embodiment. In FIG. 6, a state in which the measurement sensor 2A is being used by the user U1 is shown. Note that in the drawings, a three-dimensional orthogonal coordinate system (XYZ coordinate system) is shown as appropriate. In the XYZ orthogonal coordinate system, the direction of the Z axis is vertically upward. In the following description, the direction parallel to the Z axis is also referred to as the vertical direction. The direction of the Z axis is also referred to as the upward direction. The direction opposite to the direction of the Z axis is also referred to as the downward direction. The positive side in the direction of the Z axis is also referred to as the upper side, and the negative side in the direction of the Z axis is also referred to as the lower side. The direction parallel to the X axis is also referred to as the depth direction. The positive side in the direction of the X axis is also referred to as the front side, and the negative side in the direction of the X axis is also referred to as the back side. The direction parallel to the Y axis is also referred to as the left-right direction. The positive side in the direction of the Y axis is also referred to as the right side, and the negative side in the direction of the Y axis is also referred to as the left side.

[0065] The measurement sensor 2A includes a main body portion 20, a light source 21, a light receiving portion 22, and a light shielding portion 23. The main body portion 20 is the housing of the measurement sensor 2A. The light source 21 and the light receiving portion 22 are provided in the main body portion 20. A concave portion is provided in the main body portion 20. The light source 21 and the light receiving portion 22 are provided in the concave portion. Note that the light source 21 and the light receiving portion 22 may be provided on the surface of the main body portion 20 without the concave portion being provided in the main body portion 20.

[0066] The light source 21 irradiates the waterproof sheet B1 with irradiation light. As an example, the irradiation light is near-infrared light. The light source 21 is, for example, a tungsten lamp. In an example of the present embodiment, the light source 21 may be any light source that can emit near-infrared light, such as a light-emitting diode (LED) that emits near-infrared light. In the present embodiment, the near-infrared light is light having a wavelength from 700 nm to 2500 nm.

[0067] When using near-infrared light as the irradiation light, for example, compared with the case of using infrared light as the irradiation light, the measurement sensor 2A can be made smaller and the cost can be kept low. Further, the near-infrared light is suitable for simultaneously acquiring information on the surface of the waterproof sheet B1 and information on the functional groups constituting the waterproof sheet B1. The information on the surface of the waterproof sheet B1 is information on minute irregularities in the shape of the surface of the waterproof sheet B1.

[0068] The light receiving unit 22 receives the reflected light obtained by reflecting the light irradiated by the light source 21 on the waterproof sheet B1. The light receiving unit 22 measures the spectrum as absorbance. The light receiving unit 22 is, for example, a spectroscopic sensor. The spectroscopic sensor includes, for example, a Fabry-Perot interferometer, a light receiving sensor, an AD converter, and an arithmetic circuit.

[0069] The Fabry-Perot interferometer separates the reflected light into wavelength components. The light receiving sensor receives the wavelength components of the reflected light dispersed by the Fabry-Perot interferometer. The AD converter converts the wavelength components received by the light receiving sensor into digital signals. Here, random sensor noise may be superimposed until the wavelength components of the reflected light received by the light receiving sensor are converted by the AD converter. Therefore, the arithmetic circuit calculates the average value of a plurality of measurements of the digital signal output from the AD converter. By calculating the average value, the noise is reduced. The arithmetic circuit calculates the spectrum as absorbance from the digital signal with reduced noise by calculating the average value.

[0070] The light-shielding portion 23 surrounds the light-receiving portion 22 to prevent ambient light from entering the light-receiving portion 22 when the light-receiving portion 22 is brought close to the measurement target portion of the waterproof sheet B1. In an example of the present embodiment, the light-shielding portion 23 has a plate-like shape with a hole at a position facing the light-receiving portion 22.

[0071] Here, referring to FIGS. 7 to 11, the details of the configuration of the light-shielding portion 23 will be described. FIG. 7 is a top view and a side view showing an example of the light-shielding portion 23 according to the present embodiment. FIG. 8 is a bottom view and a side view showing an example of the light-shielding portion 23 according to the present embodiment.

[0072] The light-shielding portion 23 includes a rigid body portion 230, a close-contact portion 231, and a reflected-light cut portion 232. As shown in FIGS. 7 and 8, the rigid body portion 230, the close-contact portion 231, and the reflected-light cut portion 232 are laminated in this order from the upper side to the lower side. The rigid body portion 230 faces the light source 21 and the light-receiving portion 22 provided on the lower surface of the main body portion 20. The light-shielding portion 23 is fixed to the main body portion 20 by screws 2302.

[0073] FIG. 9 is a bottom view and a side view showing an example of the rigid body portion 230. FIG. 10 is a bottom view showing an example of the main body portion 20. FIG. 11 is a bottom view and a side view showing an example of the close-contact portion 231 and the reflected-light cut portion 232.

[0074] The rigid body portion 230 has a plate-like shape. As an example, the rigid body portion 230 has a plate-like shape having an area equal to or larger than a predetermined value. Since the rigid body portion 230 has a plate-like shape with an area equal to or larger than a predetermined value, the distance from the side surface of the rigid body portion 230 to the light-receiving portion 22 is equal to or larger than a predetermined distance. Therefore, even when light from the outside enters the light-shielding portion 23, it is possible to suppress the light from reaching the light-receiving portion 22. In other words, the light-shielding property of the light-shielding portion 23 can be enhanced.

[0075] The rigid body part 230 has a rigidity equal to or greater than a predetermined value. It is easier to fix the light-shielding part 23 to the main body part 20 with screws 2302 when the rigid body part 230 has rigidity. As an example, the material of the rigid body part 230 is metal. As the metal, Teflon (registered trademark) or aluminum is preferably used.

[0076] The rigid body part 230 has a hole part 2300. The hole part 2300 is provided at a position facing the light-receiving part 22 on the upper surface or the lower surface of the rigid body part 230. As an example, the hole part 2300 is a hole in the shape of a column. The bottom surface of the column is in an oval shape. The shape of the bottom surface of the column is such that the light source 21 and the light-receiving part 22 provided on the main body part 20 are exposed from the hole part 2300 in a state where the light-shielding part 23 is fixed to the main body part 20.

[0077] The shape of the bottom surface of the column is not limited to the shape shown in FIG. 9 as long as the light source 21 and the light-receiving part 22 can be seen from the hole part 2300. However, it is preferably a shape such that the irradiated light is not irradiated to parts other than the waterproof sheet B1 and the reflected light reflected from such parts does not enter the light-receiving part 22. The shape such that the reflected light does not enter the light-receiving part 22 is, as shown in FIG. 8, a shape that encloses the light source 21 and the light-receiving part 22 with as small an area as possible. Therefore, the shape of the bottom surface of the column depends on the arrangement of the light source 21 and the light-receiving part 22.

[0078] The light-shielding part 23 has a convex part 2304 communicating with the hole part 2300 at a position facing the light-receiving part 22. The convex part 2304 has a cylindrical shape with a hole inside. The height of the convex part 2304 is preferably equal to or less than a predetermined height. By setting the height of the convex part 2304 to be equal to or less than the predetermined height, when the light-receiving part 22 is brought close to the measurement target part of the waterproof sheet B1, the distance between the light-receiving part 22 and the measurement target part becomes equal to or less than a predetermined distance. Therefore, for the light-receiving part 22, it is less likely for the reflected light from the measurement target part to reach parts other than the light-receiving part 22. In other words, the light-receiving part 22 is likely to receive the reflected light from the measurement target part. Note that the convex part 2304 may be omitted from the configuration of the rigid body part 230.

[0079] The close contact part 231 is a part that closely contacts the measurement target part of the waterproof sheet B1 and has elasticity. The close contact part 231 has a predetermined amount or more of elasticity. The material of the close contact part 231 may be any material as long as it has a predetermined amount or more of elasticity. The entire measurement sensor 2A is elastically deformed by being pressed by the hand of the user U1 from above, and the close contact part 231 is elastically deformed. By being elastically deformed, the close contact part 231 closely contacts the measurement target part. By the close contact part 231 closely contacting the measurement target part, the light shielding property of the light shielding part 23 can be enhanced. In addition, in the present embodiment, since the reflection light cut part 232 is attached to the close contact part 231, the close contact part 231 closely contacts the measurement target part via the reflection light cut part 232.

[0080] As shown in FIG. 11, the reflection light cut part 232 is attached to the close contact part 231. In the top view, the shape of the close contact part 231 and the shape of the reflection light cut part 232 are the same. That is, the reflection light cut part 232 is attached to the close contact part 231 so as to cover the entire close contact part 231. The reflection light cut part 232 does not absorb the reflected light. Therefore, the light shielding part 23 has a reflection light cut part that does not absorb the reflected light reflected by the waterproof sheet B1 on the surface facing the measurement target part of the waterproof sheet B1. The reflection light cut part 232 reflects the reflected light. The reflection light cut part 232 is, for example, an infrared cut film.

[0081] As described above, in the present embodiment, the rigid body part 230 has a plate-like shape having a predetermined area or more. Even when light from the outside enters the light shielding part 23, the light is repeatedly reflected by the reflection light cut part 232, and it is suppressed that the light reaches the light receiving part 22.

[0082] In addition, a hole part 2320 is provided in the reflection light cut part 232. A hole part 2311 (not shown) is provided in the close contact part 231. The hole part 2320 and the hole part 2311 each have a shape similar to the shape of the bottom surface of the hole part 2300 provided in the rigid body part 230.

[0083] The engaging hole 2301 provided in the rigid body portion 230, the hole portion 2311 (not shown) provided in the close contact portion 231, and the engaging hole 2321 provided in the reflected light cutting portion 232 are each holes for passing the screw 2302. The screw 2302 passes through the engaging hole 2301, the hole portion 2311, and the hole portion 2320 and engages with the screw hole 200 provided in the main body portion 20. Note that, as an example, a pair of the screw hole 200, the screw 2302, the engaging hole 2301, the hole portion 2311, and the hole portion 2320 are provided respectively.

[0084] Note that, from the configuration of the light shielding portion 23, either one or both of the close contact portion 231 and the reflected light cutting portion 232 may be omitted. However, in order to enhance the light shielding property of the light shielding portion 23, it is preferable that the light shielding portion 23 includes the close contact portion 231 and the reflected light cutting portion 232.

[0085] As described above, in the present embodiment, the main body portion 20 which is a housing and the light shielding portion 23 are provided as separate members. With this configuration, the shape of the light shielding portion 23 can be changed in various ways according to the object to be measured. Further, even when the light shielding portion 23 is worn or damaged, the light shielding portion 23 can be replaced.

[0086] (Modification example) With reference to FIGS. 12 to 19, a modification example of the configuration of the light shielding portion 23 will be described. Note that, for the same configuration as that in the above-described embodiment, the same reference numerals may be given, and the description of the same configuration and operation may be omitted.

[0087] (First modification example) FIG. 12 is a perspective view of the measurement sensor 2a according to the present modification example. FIG. 13 is a cross-sectional view of the measurement sensor 2a according to the present modification example. The measurement sensor 2a includes a main body portion 20, a light source 21, a light receiving portion 22, and a shielding box 26a.

[0088] The shielding box 26a is a box for shielding light from the outside. The shielding box 26a shields light from the outside by covering the main body 20. In order to enhance the light shielding property, the volume of the shielding box 26a is preferably such that the distance from the side surface of the shielding box 26a to the light receiving part 22 is equal to or greater than a predetermined distance. The shielding box 26a is an example of a light shielding part. Therefore, in this modified example, the light shielding part has a box shape.

[0089] The color of the surface of the shielding box 26a is a color that absorbs light in the same wavelength band as the wavelength band of the irradiation light irradiated by the light source 21 of the measurement sensor 2a. The surface of the shielding box 26a includes at least the surface of the inner part of the shielding box 26a. Therefore, the color of the surface of the inner part of the shielding box 26a is a color that absorbs light in the same wavelength band as the wavelength band of the irradiation light. As an example, the color of the surface of the shielding box 26a is black. In the shielding box 26a, by making the surface black, even when light from the outside leaks into the inside of the shielding box 26a, the light is absorbed inside the shielding box 26a, suppressing the incidence of the light on the light receiving part 22. Note that the color of the surface of the shielding box 26a may be white. When the surface of the shielding box 26a is white, since it is less likely to absorb heat compared to colors other than white, the influence of heat on the main body 20, the light source 21, and the light receiving part 22 housed in the shielding box 26a can be suppressed. The influence of heat includes deformation of the main body 20 due to heat and an increase in noise of the light receiving part 22. The color of the surface of the shielding box 26a may be black on the inside and white on the outside. Also, the color of the surface of the shielding box 26 may be a color other than black or white.

[0090] The shielding box 26a includes a close contact part 27. The close contact part 27 is provided at a part that closely contacts the measurement target part of the waterproof sheet B1 of the shielding box 26a. Therefore, the light shielding part has elasticity at the part that closely contacts the measurement target part of the waterproof sheet B1. In the shielding box 26a, by the close contact part 27 closely contacting the measurement target part, the light shielding property of the shielding box 26a can be enhanced.

[0091] The fixing jig 28 fixes the main body 20 to the shielding box 26a. The fixing jig 28 is, as an example, a rod-shaped member. The fixing jig 28 fixes the main body 20 to the shielding box 26a by connecting the side surface of the main body 20 and the inner side surface of the shielding box 26a. The fixing jig 28 engages with the side surface of the main body 20 and the inner side surface of the shielding box 26a at both ends of the rod-shaped shape, respectively. In that case, each of both ends of the fixing jig 28 has a male screw. The main body 20 has a female screw on its side surface. The shielding box 26a has a female screw on its inner side surface.

[0092] Note that the fixing jig 28 may be integrally formed with the main body 20. Further, the fixing jig 28 may be adhered to the side surface of the main body 20 and the inner side surface of the shielding box 26a using an adhesive, as an example.

[0093] (Second Modified Example) FIG. 14 is a cross-sectional view of the measurement sensor 2b according to this modified example. The measurement sensor 2b includes a main body 20, a light source 21, a light receiving portion 22, a shielding box 26b, and a pressing portion 29. The measurement sensor 2b is the same as the measurement sensor 2 according to the first modified example described above in that the shielding box 26b performs light shielding. The measurement sensor 2b is different from the measurement sensor 2 according to the first modified example in that it includes a pressing portion 29.

[0094] The pressing portion 29 presses the close contact portion 27 downward. The pressing portion 29 penetrates from the outside of the shielding box 26b to the inside of the shielding box 26b through a through hole 260b provided in the shielding box 26b. The pressing portion 29 contacts the upper surface of the main body 20 and presses the pressing portion 29 downward. The pressing portion 29 is a member including, for example, a compression coil spring, a pressure screw, or an air pump. In the measurement sensor 2b, since the pressing portion 29 can bring the close contact portion 27 into close contact with the waterproof sheet B1, the light shielding property can be enhanced.

[0095] (Third Modified Example) FIG. 15 is a cross-sectional view of the measurement sensor 2c according to this modified example. FIG. 16 is a side view of the measurement sensor 2c according to this modified example. The measurement sensor 2c includes a main body 20, a light source 21, a light receiving unit 22, a shielding box 26c, and a glove 210c. The measurement sensor 2c performs light shielding by the shielding box 26c, which is the same as the measurement sensor 2 according to the first modified example or the measurement sensor 2b according to the second modified example described above. The measurement sensor 2c is different from the measurement sensor 2 according to the first modified example or the measurement sensor 2b according to the second modified example in that it includes a glove 210c.

[0096] The glove 210c is attached to a mounting hole 260c provided on the side surface of the shielding box 26c. The glove 210c has its tip portion disposed inside the shielding box 26c and the remaining portion other than the tip portion disposed outside the shielding box 26c. The material of the glove 210c is, for example, rubber. The hand of the user U1 is inserted into the glove 210c. The user U1 presses the main body 20 downward via the glove 210c. By being pressed downward via the glove 210c, the main body 20 comes into close contact with the waterproof sheet B1.

[0097] In the measurement sensor 2 according to the first modified example, the measurement sensor 2b according to the second modified example, or the measurement sensor 2c according to the third modified example described above, the close contact portion 27 may be omitted. However, in order to enhance the light shielding property of the shielding box 26a, the shielding box 26b, or the shielding box 26c, it is preferable to provide the close contact portion 27.

[0098] (Fourth Modified Example) In this modified example, the case where the degree of deterioration of the waterproof sheet constructed in the groove portion located on the outer periphery of the roof of the building is measured will be described. Since rainwater, mud, etc. tend to accumulate in the groove portion, the waterproof sheet constructed in the groove portion is more likely to be repeatedly dried and wetted compared to the waterproof sheet constructed in the portion other than the groove portion, depending on the environment such as the amount of solar radiation. Repeated drying and wetting promotes the deterioration of the waterproof sheet. Therefore, it is particularly necessary to measure the degree of deterioration of the waterproof sheet constructed in the groove portion.

[0099] FIG. 17 is a diagram showing an example of the appearance of the measurement sensor 2d according to this modified example. FIG. 18 is a cross-sectional view of the measurement sensor 2d according to this modified example. The measurement sensor 2d is used for measuring the waterproof sheet B2 constructed in the groove portion A2. FIGS. 17 and 18 show a state in which the measurement sensor 2d is used for measuring the groove portion A2.

[0100] The measurement sensor 2d includes a main body portion 20, a light source 21, a light receiving portion 22, and a light shielding portion 23d. By surrounding the light receiving portion 22, the light shielding portion 23d prevents light from the surroundings from entering the light receiving portion 22 when the light receiving portion 22 is brought close to the measurement target portion of the waterproof sheet B1. FIG. 19 shows a perspective view of the light shielding portion 23d. In an example of this embodiment, the light shielding portion 23d includes a rigid body portion 230d and a close contact portion 231d. The close contact portion 231d has a shape corresponding to the shape of the groove portion A2 so as to be in close contact with the waterproof sheet B2 constructed in the groove portion A2. The close contact portion 231d has elasticity equal to or more than a predetermined value. The close contact portion 231d comes into close contact with the waterproof sheet B2 constructed in the groove portion A2 by elastically deforming. The main body portion 20 is fixed to the rigid body portion 230d.

[0101] (Fifth Modified Example) FIG. 30 is a perspective view of the measurement sensor 2e according to this modified example. FIG. 31 is a perspective view of the measurement sensor 2e according to this modified example when viewed from the measurement target side. The measurement sensor 2e includes a main body portion 20, a light source 21, a light receiving portion 22, and a close contact portion 231e. The light shielding portion 23e includes a shielding box 26e and a rigid body portion 230e.

[0102] The shielding box 26e is a box for shielding light from the outside. The shielding box 26e has a main body insertion hole 2622e. The main body 20 is inserted into the shielding box 26e through the main body insertion hole 2622e. The shielding box 26e shields light from the outside by covering the inserted main body 20. Also, when the main body 20 is inserted into the shielding box 26e, the main body 20 is fixed to the shielding box 26a. Therefore, the shielding box 26e is also a jig for fixing the main body 20. Also, at the time of measurement, the user U1 uses the measurement sensor 2e while holding the shielding box 26e in hand.

[0103] The rigid body part 230e faces the light source 21 and the light receiving part 22 provided on the lower surface of the main body part 20. The rigid body part 230e is fixed to the main body part 20 by a screw 2302e. Fig. 32 shows a perspective view of the measurement sensor 2e in a state where the close contact part 231e is removed, as viewed from the side of the measurement object.

[0104] The rigid body part 230e has a plate-like shape. As an example, the rigid body part 230e has a plate-like shape with an area of a predetermined value or more. The rigid body part 230e has rigidity of a predetermined value or more. It is easier to fix the light shielding part 23 to the main body part 20 by a screw 2302e when the rigid body part 230e has rigidity. As an example, the material of the rigid body part 230e is metal. As the metal, Teflon (registered trademark) or aluminum is preferably used.

[0105] The rigid body part 230e has a hole part 2300e. The hole part 2300e is provided at a position facing the light receiving part 22 on the upper surface or the lower surface of the rigid body part 230e. As an example, the hole part 2300e is a hole in the shape of a column. The bottom surface of the column has an oval shape. The shape of the bottom surface of the column is such that the light source 21 and the light receiving part 22 provided on the main body part 20 are exposed from the hole part 2300 when the light shielding part 23 is fixed to the main body part 20.

[0106] The close contact part 231e is a part that closely contacts the measurement target part and has elasticity. The close contact part 231e is, for example, a sponge. The close contact part 231e has a hole part 2310e. A rigid body part 230e is inserted into the hole part 2310e. The hole part 2310e is a columnar hole according to the shape of the rigid body part 230e. The shape of the hole part 2310e is, for example, a rounded rectangle.

[0107] Fig. 33 shows the shape and size of the shielding box 26e. The shielding box 26e is sized to fit in one hand of the user U1. By making the shielding box 26e this size, it is easy to make the close contact part 231e closely contact the measurement target with a certain pressure, and stable measurement is possible. The shape of the shielding box 26e is a substantially rectangular parallelepiped shape with a length L1, a width L2, and a height L3. The length L1 is 100 mm, the width L2 is 70 mm, and the height L3 is 28 mm. Also, the bottom surface of the shielding box 26e has a thickness L32. The thickness L32 is 2.5 mm.

[0108] The shape of the hole part 2620e provided on the bottom surface of the shielding box 26e is a rounded rectangle with a length L11, a width L21, and an arc with a radius R12. The length L11 is 14 mm, the width L21 is 15.5 mm, and the radius R12 is 6 mm. The diameters of the two engaging holes 2321e provided on the bottom surface of the shielding box 26e are each a diameter R11. The diameter R11 is 3 mm. The distance between the two engaging holes 2321e is a length L22. The length L22 is 24 mm.

[0109] The shape of the main body insertion hole 2622e provided on the side surface of the shielding box 26e is a rounded rectangle with a long side having a length L23 and a short side having a length L31. The length L23 is 32.4 mm, and the length L31 is 16.3 mm. The corners of the rounded rectangle are arcs with a radius R3. The radius R3 is 1 mm. The main body insertion hole 2622e is provided at a height that is a height L33 away from the height of the bottom surface of the shielding box 26e. The height L33 is 0.5 mm.

[0110] The shielding box 26e is provided with a taper on its side surface so that the user U1 can easily hold it by hand. Note that the taper may not be provided. The shape of the shielding box 26e is not limited to the illustrated shape, but it is preferably a shape that is easy for the user U1 to hold by hand. The shielding box 26e may be provided with a handle.

[0111] Fig. 34 shows the shape and size of the rigid body portion 230e. The shape of the rigid body portion 230e is a rounded rectangle with a long side of length L4 and a short side of length L5. The length L4 is 32.0 mm, and the length L5 is 20.0 mm. The corners of the rounded rectangle are arcs with a radius R22. The radius R22 is 6 mm.

[0112] The shape of the hole portion 2300e provided in the rigid body portion 230e is a rounded rectangle with a long side of length L41 and a short side of length L51. The length L41 is 15.5 mm, and the length L51 is 14.0 mm. The corners of the rounded rectangle are arcs with a radius R21. The radius R21 is 6 mm.

[0113] Each of the two engaging holes 2321e provided in the rigid body portion 230e is subjected to countersinking. The countersink diameter of each of the two engaging holes 2321e is diameter R23, and the diameter of the threaded hole is diameter R24. The diameter R23 is 6 mm, and the diameter R24 is 3 mm. Each of the two engaging holes 2321e is chamfered at 90 degrees. The distance from the long side of the hole portion 2300e of each of the two engaging holes 2321e is length L52. The interval between the two engaging holes 2321e is length L42. The length L52 is 10.0 mm, and the length L42 is 24.0 mm.

[0114] Fig. 35 shows the shape and size of the contact portion 231e. The shape of the contact portion 231e is a rounded rectangle with a long side of length L6 and a short side of length L7. The length L6 is 62.0 mm, and the length L7 is 50.0 mm. The corners of the rounded rectangle are arcs with a radius R31. The radius R31 is 3 mm.

[0115] The shape of the hole portion 2310e provided in the contact portion 231e is a rounded rectangle with a long side of length L61 and a short side of length L71. The length L61 is 31.8 mm, and the length L71 is 19.8 mm. The corners of the rounded rectangle are arcs with a radius R32. The radius R32 is 6 mm.

[0116] Here, the thickness of the rigid body portion 230e is 4 mm. The thickness of the contact portion 231e is 5 mm. Therefore, the thickness of the contact portion 231e is greater than the thickness of the rigid body portion 230e. As a result, when the contact portion 231e is pressed against the measurement target, the contact portion 231e is more likely to adhere to the measurement target.

[0117] The measurement sensor 2e may be used for measuring the degree of deterioration of the waterproof sheet as in this embodiment, or may be used for measuring the degree of deterioration of the outer wall of the building A1. FIG. 36 is a diagram showing an example of a state in which the measurement sensor 2e according to this modification is used for measuring the outer wall A3 of the building A1. A recess A31 is provided in the outer wall A3. A joint A32 is provided between the outer walls A3. The joint A32 is filled with a sealing A33. Painting is applied from above the outer wall A3 and the sealing A33. Note that the sealing A33 may not be painted and the sealing A33 may be exposed.

[0118] The measurement is performed with the contact portion 231e being pushed into the shape of the recess A31 or the joint A32. At this time, the contact portion 231e elastically deforms according to the shape of the recess A31 or the joint A32, thereby adhering to the recess A31 or the joint A32. Here, the combined shape of the shielding box 26e and the rigid body portion 230e is T-shaped when viewed from above (the direction perpendicular to the measurement surface). Thus, even when the contact portion 231e elastically deforms, the measurement sensor 2e can be prevented from being pushed deeper than the depth of the recess A31 or the joint A32.

[0119] FIG. 37 shows another example of the outer wall A3a that the measurement sensor 2e measures. A recess A31a is provided in the outer wall A3a. A joint A32a is provided between the outer walls A3a. The joint A32a is filled with a sealing A33a. In the outer wall A3a, the widths of the recess A31a and the joint A32a are narrower than those of the outer wall A3. Even with the narrow recess A31a and joint A32a, the contact portion 231e elastically deforms according to the shape of the recess A31 or the joint A32 and contacts the recess A31 or the joint A32.

[0120] Note that a plurality of types of contact portions 231e having different widths may be prepared in advance, and the contact portion 231e may be replaced according to the width of the recess A31 or the joint A32. Therefore, a plurality of types of contact portions 231e having different shapes may be prepared in advance, and the contact portion 231e may be replaced according to the shape of the measurement location. Also, the contact portions 231e having the same shape may be replaced for each measurement in preparation for dirt or wear.

[0121] Note that the measurement sensors according to each embodiment and each modification, not limited to the measurement sensor 2e according to the fifth modification, may be used to measure the degree of deterioration of the outer wall of the building A1. Note that the shielding box 26a, the shielding box 26b, the shielding box 26c, or the shielding box 26e is an example of a box portion having a box shape provided in the light shielding portion.

[0122] Note that in this embodiment, an example in the case where measurement is performed using near-infrared rays has been described, but it is not limited to this. The light used for measurement may be infrared rays, visible light, or ultraviolet rays. When visible light is used for measurement, instead of the measurement sensor 2, a terminal device having a camera such as a smartphone may be used as the measurement sensor. When a terminal device having a camera is used as the measurement sensor, an image of the surface of the waterproof sheet is captured by the camera.

[0123] Even when the measurement sensor is a terminal device having a camera, any of the configurations described in the above-described embodiments and each modification example (light shielding part 23, shielding box 26a, shielding box 26b, shielding box 26c, or light shielding part 23d) may be used as the configuration of the light shielding part. However, when the measurement sensor is a terminal device having a camera, as the configuration of the light shielding part, a light shielding part having a box-shaped configuration as described in the first modification example, the second modification example, or the third modification example described above (shielding box 26a, shielding box 26b, or shielding box 26c) is preferable.

[0124] [Configuration of Server] FIG. 20 is a diagram showing an example of the configuration of the server 4A according to the present embodiment. The server 4A includes a processing unit 40A and a storage unit 41A. The processing unit 40A includes an optical data acquisition unit 400A, a calculation unit 401A, and an output unit 402A.

[0125] The optical data acquisition unit 400A acquires the optical data C1 measured by the measurement sensor 2. The calculation unit 401A calculates first deterioration information D1 indicating the degree of deterioration of the waterproof sheet B1 from the spectrum indicated by the optical data C1 based on the relationship information 410A. As an example, the first deterioration information D1 includes one or more of the breaking strength of the waterproof sheet B1, the residual amount of the plasticizer, and the like.

[0126] The relationship information 410A is information indicating the relationship between the spectrum indicated by the optical data and the degree of deterioration of the waterproof sheet. The relationship information 410A is, as an example, a learned model of machine learning learned to output first deterioration information when a spectrum is input. The relationship information 410A is, as an example, a regression model. Note that a classification model such as a neural network may be used as the relationship information 410A. In an example of the present embodiment, the relationship information 410A is a regression model learned to output first deterioration information (one or more of the breaking strength, the residual amount of the plasticizer, and the molecular weight of the vinyl chloride resin) when a near-infrared spectrum is input.

[0127] Note that the type of data used for input varies depending on the type of light used for measurement. For example, when a terminal device having a camera such as a smartphone is used instead of the measurement sensor 2 as the measurement sensor, the relationship information 410A is an image obtained by imaging the surface of the waterproof sheet and a machine learning model trained to output the first deterioration information. Alternatively, the relationship information 410A may be a predetermined relational expression indicating the relationship between the spectrum indicated by the optical data and the degree of deterioration of the waterproof sheet. The relationship information 410A may be a table indicating the relationship between the spectrum indicated by the optical data and the degree of deterioration of the waterproof sheet.

[0128] The calculation unit 401A converts the calculated first deterioration information D1 into second deterioration information E1. As an example, the second deterioration information E1 includes, among other things, the ratio of the calculated degree of deterioration to the degree of deterioration (one or more of the breaking strength, the residual amount of plasticizer, etc.) at which the waterproof sheet B1 needs to be replaced, or the number of years elapsed assuming a typical deterioration rate (the relationship between one or more of the breaking strength, the residual amount of plasticizer, etc. and the number of years elapsed).

[0129] The calculation unit 401A converts the first deterioration information D1 into the second deterioration information E1 based on the conversion table 411A. The conversion table 411A is a table in which the first deterioration information D1 and the second deterioration information E1 are associated with each other. Note that the calculation unit 401A may convert the first deterioration information D1 into the second deterioration information E1 based on machine learning.

[0130] Here, the first deterioration information D1 is an example of the first degree of deterioration, and the second deterioration information E1 is an example of the second degree of deterioration. That is, the calculation unit 401A converts the calculated first degree of deterioration into the second degree of deterioration.

[0131] The output unit 402A outputs the measurement result. As an example, the measurement result includes first deterioration information D1 and second deterioration information E1. Therefore, the output unit 402A outputs the first deterioration information D1 indicating the degree of deterioration calculated by the calculation unit 401A. Further, the output unit 402A outputs the second degree of deterioration converted by the calculation unit 401A.

[0132] Each functional unit included in the processing unit 40A is realized by, for example, a CPU expanding a program read from a ROM (Read Only Memory) into a RAM (Random Access Memory) and executing processing according to the program. The ROM and the RAM are included in the storage unit 41A.

[0133] The storage unit 41A stores various types of information. The storage unit 41A is configured using a storage device such as a magnetic hard disk device or a semiconductor storage device. The information stored in the storage unit 41A includes relationship information 410A, a conversion table 411A, and building deterioration information 412A. The building deterioration information 412A is, as an example, a table in which the building A1 and the measurement locations of the building A1 are associated with the optical data C1. Therefore, the storage unit 41A stores the building A1 and the measurement locations of the building A1 in association with the optical data C1. By storing the building A1 and the measurement locations of the building A1 in association with the optical data C1, the optical data C1 can be referred to as a measurement result for each of the building A1 or the measurement locations of the building A1.

[0134] As described above, in an example of this embodiment, the server 4A is a cloud server, but the server 4A may be a single physical server. That is, each functional unit included in the processing unit 40A and the storage unit 41A may be distributed and provided in a plurality of servers, or may be provided in a single physical server.

[0135] [Measurement Processing of the Measurement System] FIG. 21 is a diagram showing an example of the flow of measurement processing by the measurement system 1A according to this embodiment.

[0136] Step S10: The measurement sensor 2 used by the user U1 irradiates the waterproof sheet B1 with irradiation light, and measures the reflected light obtained by reflecting the irradiated light from the waterproof sheet B1. The measurement result by the measurement sensor 2 is output to the terminal device 3A as optical data C1. The terminal device 3A transmits the optical data C1 output from the measurement sensor 2 to the server 4A.

[0137] Step S20: The optical data acquisition unit 400A acquires the optical data C1 measured by the measurement sensor 2.

[0138] Step S30: The calculation unit 401A calculates first degradation information D1 indicating the degree of degradation of the waterproof sheet B1 from the spectrum indicated by the optical data C1 based on the relationship information 410A.

[0139] Step S40: The calculation unit 401A converts the calculated first degradation information D1 into second degradation information E1.

[0140] Step S50: The output unit 402A outputs the measurement result to the terminal device 3A. The measurement result includes, as an example, the first degradation information D1 and the second degradation information E1. With the above, the measurement system 1A ends the measurement process.

[0141] Note that the calculation unit 401A does not necessarily need to convert the first degradation information D1 into the second degradation information E1. In that case, the measurement result output by the output unit 402A includes only the first degradation information D1 out of the first degradation information D1 and the second degradation information E1.

[0142] Note that the storage unit 41A does not necessarily need to store by associating the building A1, the measurement location of the building A1, and the optical data C1. In that case, the building degradation information 412A is omitted from the information stored in the storage unit 41A.

[0143] As described above, the measurement system 1A according to the present embodiment includes a light source 21, a light receiving unit 22, a light shielding unit 23, an optical data acquisition unit 400A, a calculation unit 401A, and an output unit 402A. The light source 21 irradiates the waterproof sheet B1 constructed outside the building A1 with irradiation light. The light receiving unit 22 receives the reflected light reflected by the waterproof sheet B1 from the light irradiated by the light source 21. The light shielding unit 23 surrounds the light receiving unit 22 to prevent ambient light from entering the light receiving unit 22 when the light receiving unit 22 is brought close to the measurement target site of the waterproof sheet B1. The optical data acquisition unit 400A acquires optical data C1 indicating the spectrum of the light received by the light receiving unit 22. The calculation unit 401A calculates the degree of deterioration of the waterproof sheet B1 from the spectrum indicated by the optical data C1 based on the relationship information 410A indicating the relationship between the spectrum indicated by the optical data and the degree of deterioration of the waterproof sheet. The output unit 402A outputs first deterioration information D1 indicating the degree of deterioration calculated by the calculation unit 401A.

[0144] With this configuration, in the measurement system 1A according to the present embodiment, while preventing ambient light from entering the light receiving unit 22, the spectrum of the reflected light reflected by the waterproof sheet B1 is measured, and the degree of deterioration of the waterproof sheet B1 can be calculated from the spectrum. Therefore, the degree of deterioration of the waterproof sheet can be measured non-invasively and quantitatively while ensuring the stability of the measurement.

[0145] The degree of deterioration of the waterproof sheet has conventionally been determined by visual inspection by an operator. In visual inspection, it is difficult to quantitatively determine the degree of deterioration. Therefore, for example, there have been cases where the waterproof sheet is replaced even though it can actually still be used, or cases where a waterproof sheet that has deteriorated unexpectedly early is continued to be used and rain leakage occurs.

[0146] The measurement system 1A of the present embodiment may be used to measure the risk of damage (damage risk) to the waterproof sheet B1 instead of or together with the degree of deterioration of the waterproof sheet. Also in the case of measuring the damage risk, in the above-described configuration, by using the damage risk instead of the degree of deterioration, the measurement system 1A can measure the damage risk in the same manner as the above-described configuration. For example, information indicating the relationship between the spectrum and the damage risk may be used instead of the relationship information 410A.

[0147] In the measurement system 1A according to the present embodiment, as described above, the calculated first deterioration information D1 may be converted into the second deterioration information E1. In that case, the first degree of deterioration indicated by one or more of the breaking strength, the remaining amount of the plasticizer, etc. can be converted into the ratio of the calculated degree of deterioration to the degree of deterioration that requires replacement of the waterproof sheet B1, or the number of years elapsed when assuming a typical deterioration rate. Therefore, in the measurement system 1A according to the present embodiment, from the results of quantitative measurement, it is possible to further predict the number of years for which the waterproof sheet B1 can be used.

[0148] In the measurement system 1A according to the present embodiment, a simple configuration can be used as the light-shielding unit 23 to ensure the stability of measurement. Therefore, compared with the case of using a non-simple configuration, the work efficiency at the site is improved and it can be widely used.

[0149] (Third Embodiment) [Configuration of the Proposed System] FIG. 22 is a diagram showing an example of the configuration of the proposed system 1B according to the present embodiment. The proposed system 1B is a system for proposing services for a building to a customer by combining the degree of deterioration of a waterproof sheet constructed outside the building and the information of the building. The proposed system 1B includes a first terminal device 3B, a server 4B, a building information server 5B, a proposed information server 6B, and a second terminal device 7B.

[0150] In the example shown in FIG. 22, the waterproof sheet B10 is installed outside the building A10. The building A10 is, for example, a building or a house. The outside of the building A10 is, for example, the roof, eaves, or veranda of the building A10. The first user U10 is an operator who inspects the degree of deterioration of the waterproof sheet B10. The first user U10 carries the measurement sensor 2B and the first terminal device 3B. The first user U10 climbs onto the roof, eaves, or veranda of the building A10 and measures the waterproof sheet B10 using the measurement sensor 2B.

[0151] The measurement sensor 2B irradiates the waterproof sheet B10 with irradiation light and measures the reflected light reflected by the waterproof sheet B10 from the irradiated light. The irradiation light is, for example, near-infrared light. Note that light with a wavelength other than near-infrared light may be used as the irradiation light. The measurement sensor 2B measures the spectrum of the reflected light by spectroscopy. Note that the measurement sensor 2B may capture an image of the surface of the waterproof sheet B10. In that case, the measurement sensor 2B is, for example, a terminal device having a camera such as a smartphone. Note that the waterproof sheet B10 contains, for example, vinyl chloride resin, plasticizer, stabilizer, ultraviolet absorber, and other additives.

[0152] The measurement result by the measurement sensor 2B is output to the first terminal device 3B as measurement data C10. The first terminal device 3B transmits the measurement data C10 output from the measurement sensor 2B to the server 4B. The server 4B executes analysis based on the measurement data C10 and calculates measurement result information F10. The measurement result information F10 is information indicating the degree of deterioration of the waterproof sheet B10.

[0153] Server 4B generates proposal information E10 based on the relationship information from the degree of deterioration. The proposal information E10 is information indicating services proposed to the customer for the building. The relationship information is information indicating the relationship between the degree of deterioration of the waterproof sheet B10 and the candidates for the services. As an example, the relationship information is distributed and stored in the server 4B, the building information server 5B, and the proposal information server 6B. Note that, as will be described later, the building information server 5B stores building information indicating information about the building. Also, the proposal information server 6B stores candidate proposal information indicating candidates for the services. Server 4B outputs the generated proposal information E10 and the measurement result information F10 indicating the calculated degree of deterioration of the waterproof sheet B10 to the second terminal device 7B included in the output information D10.

[0154] Various screens based on the output information D10 are displayed on the second terminal device 7B. The second user U20 explains the measurement results and proposes services to the customer U30 while showing the screens displayed on the second terminal device 7B.

[0155] As an example, the second user U20 is the same person as the first user U10. Also, as an example, the second terminal device 7B is the same as the first terminal device 3B. Note that the second user U20 may be a person different from the first user U10, such as a salesperson of a housing company. In that case, the second terminal device 7B and the first terminal device 3B may be different.

[0156] The measurement result screen P1 shown in FIG. 23 is an example of the screen displayed on the second terminal device 7B. The second user U20 explains the measurement results of the degree of deterioration of the waterproof sheet B10 to the customer U30 while showing the measurement result screen P1. On the measurement result screen P1, as an example, the degree of deterioration ratio and the deterioration speed are displayed.

[0157] The degree-of-deterioration ratio is the ratio of the calculated degree of deterioration to the degree of deterioration (one or more of the breaking strength, plasticizer residue amount, etc.) that requires replacement of the waterproof sheet B10. Note that the degree-of-deterioration ratio may be shown as the ratio that decreases from 100% to 0% according to the degree of deterioration when the new product state is set to 100% and the degree of deterioration requiring replacement is set to 0%. The degree-of-deterioration ratio corresponds to the remaining durability value until replacement is required. Also, the degree-of-deterioration ratio may be shown as the ratio that increases from 0% to 100% when the new product state is set to 100% and the degree of deterioration requiring replacement is set to 0%. The degree-of-deterioration ratio corresponds to the cumulative amount of the degree of deterioration. Therefore, in any case, the degree-of-deterioration ratio is the ratio to the reference value.

[0158] The deterioration rate indicates the number of years elapsed when a typical deterioration rate (the relationship between one or more of the breaking strength, plasticizer residue amount, etc. and the number of years elapsed) is assumed. That is, the deterioration rate is the number of years elapsed calculated based on the predetermined relationship between the degree of deterioration of the waterproof sheet B10 and the number of years elapsed. For example, even if only 5 years have passed since the waterproof sheet B10 was installed, if the deterioration of the waterproof sheet B10 has progressed, the deterioration rate may be calculated as 10 years. Since the above-described degree-of-deterioration ratio and deterioration rate are quantities that are easy to grasp quantitatively and intuitively, the customer U30 can easily make future assumptions based on the margin until the waterproof sheet B10 needs to be replaced.

[0159] The proposed information screen P2 shown in FIG. 24 is an example of the screen displayed on the second terminal device 7B. The second user U20 makes various service proposals for the building A10 to the customer U30 while showing the proposed information screen P2 to the customer U30. On the proposed information screen P2, as an example, waterproof sheet work and exterior wall painting work are displayed as services proposed to the customer. Also, on the proposed information screen P2, estimates of the costs of the respective services are displayed.

[0160] The application screen P3 shown in FIG. 25 is an example of the screen displayed on the second terminal device 7B. The application screen P3 is a screen for applying for the service indicated by the proposal information. The application screen P3 is, as an example, a screen for applying for waterproof sheet construction work. Customer U30 can apply for the desired service immediately after being proposed the service by the second user U20. Customer U30 inputs various information for application to the application screen P3 using the second terminal device 7B. On the application screen P3, as an example, information indicating Customer U30 (name, telephone number, email address, etc.) and information indicating the schedule for the service to be carried out (desired construction schedule) are displayed. Note that Customer U30 may apply for the desired service using a terminal device (not shown) owned by himself / herself.

[0161] Note that Customer U30 may apply for the desired service at a later time after being proposed the service by the second user U20, such as after the second user U20 has logged out. In that case, Customer U30 applies for the desired service using a terminal device (not shown) owned by himself / herself.

[0162] Returning to FIG. 22, the description of the configuration of the proposal system 1B will be continued. When a service application is made from the second terminal device 7B, the second terminal device 7B transmits application information G10 to the proposal information server 6B. The application information G10 is information for applying for the service. The application information G10 is, as an example, various information input to the application screen P3 shown in FIG. 25.

[0163] The building information server 5B manages and stores building information. The proposal information server 6B manages and stores proposal information. Also, the proposal information server 6B manages services related to the building. For example, the proposal information server 6B manages and stores the application information G10.

[0164] The first terminal device 3B and the second terminal device 7B are each, as an example, a portable terminal device such as a tablet terminal, a notebook personal computer (PC), or a smartphone.

[0165] The server 4B, the building information server 5B, and the proposal information server 6B are each, as an example, a cloud server.

[0166] The measurement sensor 2B and the first terminal device 3B communicate with each other, as an example, by wireless communication. The wireless communication is, as an example, short-range wireless communication or wireless communication using a local area network (LAN). Note that the measurement sensor 2B and the first terminal device 3B may be connected to each other by a cable and communicate by wired communication.

[0167] The first terminal device 3B and the server 4B communicate with each other, as an example, by wireless communication via a wireless network. The wireless network is, as an example, a mobile communication network. The server 4B, the building information server 5B, and the proposal information server 6B communicate with each other by wireless communication via a wireless network. The wireless network is the Internet.

[0168] Note that the measurement sensor 2B may have a communication function for communicating with the server 4B via the network N1. In that case, the measurement sensor 2B directly transmits the measurement data C10 to the server 4B without going through the first terminal device 3B. Also, part of the analysis executed by the server 4B may be executed by the first terminal device 3B. For example, all of the analysis executed by the server 4B may be executed by the first terminal device 3B. In other words, the server 4B and the first terminal device 3B may be configured as an integrated device. In that case, the first terminal device 3B performs analysis based on the measurement data C10.

[0169] [Configuration of Server, Building Information Server, and Proposal Information Server] FIG. 26 is a diagram showing an example of the configurations of server 4B, building information server 5B, and proposal information server 6B according to this embodiment. Server 4B includes a processing unit 40B and a storage unit 41B. Processing unit 40B includes a measurement data acquisition unit 400B, a calculation unit 401B, a proposal information generation unit 402B, an estimate calculation unit 403B, a display screen generation unit 404B, and an output unit 405B.

[0170] Measurement data acquisition unit 400B acquires measurement data C10 for waterproof sheet B10 constructed outside building A10. Calculation unit 401B calculates the degree of deterioration of waterproof sheet B10 from measurement data C10 based on first relationship information 410B.

[0171] First relationship information 410B is information indicating the relationship between measurement data C10 and the degree of deterioration of waterproof sheet B10. As an example, first relationship information 410B includes a learned model of machine learning and a conversion table which is a predetermined table. The learned model included in first relationship information 410B is a learned model of machine learning that is learned to output a first degree of deterioration of the waterproof sheet when measurement data is input. The first degree of deterioration is one or more of the breaking strength, the residual amount of plasticizer, and the molecular weight of the PVC resin.

[0172] The learned model included in first relationship information 410B is, as an example, a regression model. Note that as the learned model, a classification model such as a neural network may be used. Note that, for example, when a terminal device having a camera such as a smartphone is used instead of measurement sensor 2B as the measurement sensor, first relationship information 410B is a learned model of machine learning that is learned to output an image of the surface of the waterproof sheet and the first degree of deterioration. Instead of the learned model included in the first relationship information 410B, it may be a predetermined relational expression showing the relationship between the measurement data and the first degree of deterioration of the waterproof sheet. The first relationship information 410B may be a table showing the relationship between the measurement data and the first degree of deterioration of the waterproof sheet.

[0173] The conversion table included in the first relationship information 410B is a table in which the first degree of deterioration and the second degree of deterioration are associated with each other. As an example, the second degree of deterioration includes one or more of the degree-of-deterioration ratio and the deterioration rate described above.

[0174] The calculation unit 401B uses the learned model and the conversion table included in the first relationship information 410B to calculate, as the degree of deterioration of the waterproof sheet B10 from the measurement data C10 (for example, the near-infrared spectroscopic spectrum), one or more of the degree-of-deterioration ratio and the deterioration rate.

[0175] The proposal information generation unit 402B generates proposal information E10 based on the second relationship information 411B from the degree of deterioration calculated by the calculation unit 401B and the building information 500B. The second relationship information 411B is, for example, information showing the relationship between the building information 500B, the candidate proposal information 600B, and the degree of deterioration of the waterproof sheet B10. The building information 500B is building information about the building A10. The candidate proposal information 600B is information showing candidates for services to be proposed to the customer about the building A10. Also, as described above, the proposal information E10 is information showing services to be proposed to the customer about the building A10.

[0176] The second relationship information 411B is, for example, a learned model of machine learning learned to output the candidate proposal information 600B when the degree of deterioration of the waterproof sheet and the building information are input. The second relationship information 411B is, for example, a regression model. Note that a classification model such as a neural network may be used as the second relationship information 411B. In an example of this embodiment, the second relationship information 411B is a regression model that is learned to output candidate proposal information 600B when the degree of deterioration of the waterproof sheet and building information are input.

[0177] Note that the second relationship information 411B may be a predetermined relational expression indicating the relationship among the building information, the candidate proposal information 600B, and the degree of deterioration of the waterproof sheet. The second relationship information 411B may be a table indicating the relationship among the building information, the candidate proposal information 600B, and the degree of deterioration of the waterproof sheet. Note that the second relationship information 411B is generated in advance based on the building information and the proposal performance of services for the building.

[0178] As an example, the building information includes one or more of the construction years, drawings or floor plans, facilities, repair history, family information, past inspection records, soil deposition data, contamination degree data, site access records, and electricity service usage status. The contamination degree data is data indicating the contamination degree of the waterproof sheet B10. The family information includes family composition and family ages. The site access record is a record (log) of the customer U30 accessing the website, and includes information indicating the interests of the customer U30 and product purchase records. The electricity service usage status is information indicating the amount of electricity used in the building A10.

[0179] Note that the calculation unit 401B may associate the building A10 and the measurement locations of the building A10 with the degree of deterioration of the waterproof sheet B10 calculated by the calculation unit 401B and add them to the building information 500B. Thereby, the building information 500B is updated based on the measurement results.

[0180] The candidate proposal information 600B includes, as an example, waterproof sheet work (repair, replacement), exterior wall painting work, renovation reform, moving house, sales support, inheritance support during lifetime, various insurances (fire, earthquake, flood, life insurance), equipment replacement (unit bath, water heater, kitchen, air conditioner, etc.), new equipment installation (battery, electric vehicle compatibility, elevator), product sales (furniture, maintenance supplies), power supply service, and Internet connection service, with one or more of them included. The renovation reform includes, for example, renovation plans for rooms according to changes in family composition such as converting a children's room into a hobby room or converting an open space into a children's room, or renovation plans considering barrier-free features. The moving house includes, for example, a plan to sell after renovation. The sales support includes, for example, support such as quantitatively guaranteeing the condition of Building A10 and increasing its value. Among the candidate proposal information 600B, replacement of various facilities including the waterproof sheet B10 and renovation of Building A10 are also described as replacement information. Note that the candidate proposal information 600B may be linked to the information stored in the servers of service providers offering various services. For example, the moving house information among the candidate proposal information 600B may be linked to the information stored in the server of a rental service provider.

[0181] Note that the second related information 411B may be information indicating the relationship between the candidate proposal information 600B and the degree of deterioration of the waterproof sheet B10. That is, in the second related information 411B, the building information 500B may not be associated with the candidate proposal information 600B and the degree of deterioration of the waterproof sheet B10. In that case, the proposal information generation unit 402B generates the proposal information E10 from the degree of deterioration calculated by the calculation unit 401B based on the second related information 411B. However, in order to reflect the information of Building A10 in the proposal information E10 and make the proposal information E10 a proposal for a more comfortable living space for the customer U30, it is preferable that in the second related information 411B, the building information 500B is associated with the candidate proposal information 600B and the degree of deterioration of the waterproof sheet B10.

[0182] The estimate calculation unit 403B calculates an estimate of the cost of the service indicated by the proposed information E10 based on the proposed information E10 generated by the proposed information generation unit 402B. The estimate calculation unit 403B calculates an estimate of the cost for each service. Information indicating the estimate calculated by the estimate calculation unit 403B is referred to as estimate information.

[0183] The display screen generation unit 404B generates various screens (display screens) for display on the second terminal device 7B. The second terminal device 7B is an example of a display device. For example, the display screen generation unit 404B generates a screen for displaying the measurement result of the degradation degree of the waterproof sheet B10 on the display device. The above-described measurement result screen P1 is an example of such a screen. Also, the display screen generation unit 404B generates a screen for displaying the proposed information E10 on the display device. The above-described proposed information screen P2 is an example of such a screen. Also, the display screen generation unit 404B generates an application screen for applying for the service indicated by the proposed information E10. The above-described application screen P3 is an example of such a screen. Information indicating the screen generated by the display screen generation unit 404B is referred to as screen information.

[0184] The output unit 405B outputs the output information D10. As an example, the output information D10 includes the proposed information E10, the estimate information, the display screen information, and the measurement result information F10. Therefore, the output unit 405B outputs the proposed information E10 generated by the proposed information generation unit 402B.

[0185] Each functional unit included in the processing unit 40B is realized, for example, by a CPU expanding a program read from a ROM (Read Only Memory) into a RAM (Random Access Memory) and executing processing according to the program. The ROM and the RAM are included in the storage unit 41B.

[0186] The storage unit 41B stores various types of information. The storage unit 41B is configured using a storage device such as a magnetic hard disk device or a semiconductor storage device. The information stored in the storage unit 41B includes the first relationship information 410B and the second relationship information 411B.

[0187] Note that, as described above, the server 4B, the building information server 5B, and the proposal information server 6B are each, as an example, cloud servers, but the server 4B, the building information server 5B, and the proposal information server 6B may be configured as a single physical server. That is, each functional unit included in the processing unit 40B, the storage unit 41B, the storage unit 50B, and the storage unit 60B may be provided distributed among a plurality of servers, or may be provided in a single physical server.

[0188] Note that part or all of the functions each of the server 4B, the building information server 5B, and the proposal information server 6B has may be provided in the first terminal device 3B or the second terminal device 7B. For example, the measurement data acquisition unit 400B and the calculation unit 401B may be provided in the first terminal device 3B, and the proposal information generation unit 402B, the estimate calculation unit 403B, the display screen generation unit 404B, and the output unit 405B may be provided in the second terminal device 7B.

[0189] [Proposal processing of the proposal system] FIG. 27 is a diagram showing an example of the flow of the proposal processing by the proposal system 1B according to the present embodiment.

[0190] Step S110: The measurement sensor 2B used by the first user U10 irradiates the waterproof sheet B10 with irradiation light and measures the reflected light reflected by the waterproof sheet B10 from the irradiated light. The measurement result by the measurement sensor 2B is output to the first terminal device 3B as measurement data C10. The first terminal device 3B transmits the measurement data C10 output from the measurement sensor 2B to the server 4B.

[0191] Step S120: The measurement data acquisition unit 400B acquires the measurement data C10 measured by the measurement sensor 2B.

[0192] Step S130: The calculation unit 401B calculates the degree of deterioration of the waterproof sheet B10 from the measurement data C10 based on the first relationship information 410B.

[0193] Step S140: Based on the second relationship information 411B, the proposal information generation unit 402B generates proposal information E10 from the degree of deterioration calculated by the calculation unit 401B and the building information 500B.

[0194] As an example, the second relationship information 411B shows the relationship between the degree of deterioration of the waterproof sheet B10, the building information 500B, and the candidate proposal information 600B. In that case, the proposal information generation unit 402B generates proposal information E10 from the degree of deterioration of the waterproof sheet B10 calculated by the calculation unit 401B and the building information 500B based on the second relationship information 411B.

[0195] For example, in the second relationship information 411B, when the relationship between the degree of deterioration of the waterproof sheet B10, the construction year and the past inspection records among the building information 500B, and the waterproof sheet construction among the candidate proposal information 600B is included, the proposal information generation unit 402B generates, as the proposal information E10, information proposing the replacement of the waterproof sheet and information indicating the recommended time for replacement from the degree of deterioration of the waterproof sheet B10, the construction year, and the past inspection records.

[0196] In another example, in the second relationship information 411B, when the relationship between the degree of deterioration of the waterproof sheet B10, the soil deposition data and the contamination degree data among the building information 500B, and the paid cleaning proposal for the part (roof, eaves, or veranda) where the waterproof sheet B10 is constructed and the cleaning tools among the candidate proposal information 600B is included, the proposal information generation unit 402B generates, as the proposal information E10, information proposing the paid cleaning of the part (roof, eaves, or veranda) where the waterproof sheet B10 is constructed and information introducing the cleaning tools from the degree of deterioration of the waterproof sheet B10 and the soil deposition data.

[0197] In another example, in the second relationship information 411B, when the degree of deterioration of the waterproof sheet B10, the neighboring building information which is information indicating the degree of deterioration of the buildings neighboring the building A10 among the building information 500B, and the relationship with the candidate proposal information 600B including waterproof sheet work (repair, replacement), exterior wall painting work, and renovation are included, the proposal information generation unit 402B generates, as the proposal information E10, information for proposing waterproof sheet work (repair, replacement), exterior wall painting work, and renovation for the buildings neighboring the building A10 from the degree of deterioration of the waterproof sheet B10 and the neighboring building information indicating the degree of deterioration of the buildings neighboring the building A10.

[0198] Fig. 38 shows a neighboring building list as an example of neighboring building information. The neighboring building list is a list showing information of neighboring buildings. As shown in the figure, the neighboring building list has columns for each item of <contract number>, <house name>, <specification>, <handover date>, <number of years since construction>, <degree of waterproof deterioration>, <waterproof sheet work>, <exterior wall painting work>, <other renovations>, and <distance from the reference property>. The neighboring building list is two-dimensional table-form data consisting of rows and columns in which information of neighboring buildings is stored for each neighboring building indicated by the <contract number> and the <house name>.

[0199] The reference property is the building A1 where the measurement of the waterproof sheet B1 is performed. Therefore, the distance from the reference property is the distance from the building A1 of the neighboring building. The neighboring building is, for example, a building whose distance from the reference property is equal to or less than a predetermined distance (as an example, 10 km). In the shown neighboring building list, the information of the building A1 is stored in the first row. Accordingly, in the first row, the distance from the reference property is 0 km.

[0200] In the neighboring building list, the neighboring buildings can be sorted based on each information about the neighboring buildings. For example, the neighboring buildings can be sorted in ascending order of the number of years since construction close to that of the building A1 based on the number of years since construction. In another example, the neighboring buildings can be sorted in ascending order of the distance from the building A1 based on the distance from the reference property.

[0201] Therefore, in this example, the building information 500B includes neighboring building information indicating the degree of deterioration of the buildings neighboring Building A1. The candidate proposal information 600B includes waterproof sheet construction, exterior wall painting construction, and renovation. The second relationship information 411B includes the relationship between the degree of deterioration of the waterproof sheet B10 and the neighboring building information, and the relationship between the neighboring building information and the candidate proposal information 600B. The proposal information generation unit 402B generates proposal information E10 from the degree of deterioration of the waterproof sheet B10 calculated by the calculation unit 401B and the neighboring building information based on the second relationship information 411B.

[0202] Note that as the neighboring building information, a map generated from the illustrated list may be used. The map is a map indicating the degree of deterioration of the buildings neighboring Building A1.

[0203] In another example, in the second relationship information 411B, when the relationship between the degree of deterioration of the waterproof sheet B10, the construction year of Building A10 among the building information 500B, and the replacement information at the same construction year as that of Building A10, and the replacement information among the candidate proposal information 600B is included, the proposal information generation unit 402B generates replacement information as the proposal information E10 from the degree of deterioration of the waterproof sheet B10 and the construction year. In this example, for example, in the above-described neighboring building list, the replacement information at the same construction year as that of Building A10 may be included and used as the second relationship information 411B. In the above example, information for proposing one or more of the replacement information or other services may be generated as the proposal information E10 based on one or more of the construction year, family composition, region, and floor plan.

[0204] In another example, in the second relationship information 411B, when the degree of deterioration of the waterproof sheet B10, the degree of deterioration of the exterior wall painting among the building information 500B, and the repair or replacement of the exterior wall among the candidate proposal information 600B are included, the proposal information generation unit 402B generates information for proposing the repair or replacement of the exterior wall as the proposal information E10 from the degree of deterioration of the waterproof sheet B10 and the degree of deterioration of the exterior wall painting among the building information 500B. Here, it is considered that there is a correlation between the part where the waterproof sheet B10 is constructed (roof, eaves, or veranda) and each part in the horizontal and vertical directions.

[0205] Also, the second relationship information 411B is not limited to the above example. As another example, the second relationship information 411B may include the third relationship information 411C and the fourth relationship information 411D. The third relationship information 411C is information indicating the relationship between the degree of deterioration of the waterproof sheet B1 and the building information 500B. The fourth relationship information 411D is information indicating the relationship between the building information 500B and the candidate proposal information 600B. In that case, the proposal information generation unit 402B calculates the building information 500B calculated from the degree of deterioration of the waterproof sheet B1 calculated by the calculation unit 401B based on the third relationship information 411C. The proposal information generation unit 402B generates the proposal information E10 from the calculated building information 500B based on the fourth relationship information 411D.

[0206] As an example, the building information 500B may include the building deterioration degree, which is the degree of painting or deterioration of external members for the building A1. In that case, the third relationship information 411C indicates the relationship between the degree of deterioration of the waterproof sheet B1 and the building deterioration degree. The fourth relationship information 411D indicates the relationship between the building deterioration degree and the candidate proposal information 600B. In that case, the proposal information generation unit 402B calculates the building deterioration degree calculated from the degree of deterioration of the waterproof sheet B1 calculated by the calculation unit 401B based on the third relationship information 411C. 402B generates the proposal information E10 from the calculated building deterioration degree based on the fourth relationship information 411D.

[0207] Note that the candidate proposal information 600B may include services other than the service for the waterproof sheet B1. In that case, as the proposal information E10, services other than the service for the waterproof sheet B1 are proposed. Therefore, proposal information E10 indicating services for objects other than the waterproof sheet B1 (painting for the building A1, external members, etc.) may be generated from the measurement data C10 for the waterproof sheet B1.

[0208] Step S150: Based on the proposal information E10 generated by the proposal information generation unit 402B, estimate the cost of the service indicated by the proposal information E10.

[0209] Step S160: The display screen generation unit 404B generates a display screen for display on the second terminal device 7B.

[0210] Step S170: The output unit 405B outputs the output information D10 to the second terminal device 7B. Thereafter, the second user U20 explains the measurement results and proposes services to the customer U30 while showing the screen displayed on the second terminal device 7B. Thus, the proposal system 1B ends the proposal process.

[0211] Note that the measurement result information F10 may be omitted from the output information D10 output by the output unit 405B to the second terminal device 7B. Also, the estimate calculation unit 403B or the display screen generation unit 404B may be omitted from the configuration of the server 4B. In that case, the processes of step S150 and step S160 are omitted from the proposal process, and the estimate information and the display screen information are omitted from the output information D10.

[0212] Here, the measurement screen Q1 displayed on the first terminal device 3B used by the first user U10, who is the operator performing the inspection here, will be described. FIG. 39 is a diagram showing an example of the measurement screen Q1 according to the present embodiment. The measurement screen Q1 includes a graph display area Q11, an input area Q12, and an operation area Q13.

[0213] The graph display area Q11 is an area where a graph showing the measurement result of the degree of deterioration of the waterproof sheet B1 by the measurement sensor 2B is displayed. The graph shows the measurement result with respect to the measurement time. In an example shown in the figure, two graphs are displayed on the measurement screen Q1. The two graphs respectively show the results of multiple (two) measurements at the same measurement location. Note that it may be possible to select which of the multiple (two) measurement results is used for diagnosis. In that case, for example, a button (such as a checkbox) for selecting the measurement result may be provided on the measurement screen Q1.

[0214] The input area Q12 is an area where an input form for inputting various input information is displayed. In an example shown in the figure, in the input area Q12, input forms for inputting "contract number", "measurement target", "measurement location", and "remarks" are displayed respectively. The "contract number" is a number for identifying the building A1. The input form for the "contract number" is, for example, a text box. The "measurement target" is, for example, a measurement target such as a rooftop and a veranda. The input form for the "measurement target" is, for example, a pull-down menu. The "measurement location" indicates, for example, which location of the "measurement target" was measured. For example, when the "measurement target" is a rooftop, the "measurement location" is the south side or the north side of the rooftop. The "measurement location" is freely input by the first user U10. The input form for the "measurement location" is, for example, a text box.

[0215] The operation area Q13 is an area where various operation buttons are displayed. In an example shown in the figure, in the operation area Q13, a measurement start button, a measurement stop button, a diagnosis button, and a data save button are displayed. Note that a gauge showing the progress of the measurement is displayed in the operation area Q13.

[0216] The measurement start button is a button for starting the measurement. When the measurement start button is pressed, the first terminal device 3B starts acquiring the measurement data C10 output from the measurement sensor 2B. The measurement stop button is a button for stopping the measurement. When the measurement stop button is pressed, the first terminal device 3B stops acquiring the measurement data C10 output from the measurement sensor 2B. The diagnosis button is a button for displaying the determination result of the degree of deterioration based on the measurement result. When the diagnosis button is pressed, the result determination screen Q2 is displayed. The data save button is a button for saving the measurement data C10. When the data save button is pressed, the measurement data C10 is saved in the server 4B.

[0217] From FIG. 40 to FIG. 44, as an example of the result determination screen Q2, result determination screens Q21 to Q25 according to the determination result of the degree of deterioration of the waterproof sheet B1 are shown respectively. The degree of deterioration of the waterproof sheet B1 is determined in five stages from A determination to E determination as an example according to the remaining amount of plasticizer. When the remaining amount of plasticizer is from 100 to 88 percent, it is A determination; when it is from 88 to 75 percent, it is B determination; when it is from 75 to 63 percent, it is C determination; when it is from 63 to 50 percent, it is D determination; and when it is less than 50 percent, it is E determination.

[0218] In the result determination screen Q21 shown in FIG. 40, the determination result of A determination is displayed. In the result determination screen Q22 shown in FIG. 41, the determination result of B determination is displayed. In the result determination screen Q23 shown in FIG. 42, the determination result of C determination is displayed. In the result determination screen Q24 shown in FIG. 43, the determination result of D determination is displayed. In the result determination screen Q25 shown in FIG. 44, the determination result of E determination is displayed. In the result determination screen Q2, text indicating the determination result or text indicating a proposal according to the determination result is displayed respectively. Note that, as shown in the figure, the determination result of the previous measurement may be displayed together with the determination result of the current measurement on the result determination screen Q2.

[0219] Figures 45 to 47 show another example of the result determination screen Q2. On the result determination screen Q22a, a gauge indicating the remaining amount of plasticizer is displayed together with the determination result. On the result determination screen Q22a shown in Figure 45, the gauge indicating the remaining amount of plasticizer is marked with graduations at predetermined intervals for the remaining amount of plasticizer. Also, the gauge is distinguished in five ranges according to the determination result.

[0220] On the result determination screen Q22b shown in Figure 46, the determination result is not marked on the gauge indicating the remaining amount of plasticizer. On the result determination screen Q22b, a numerical value indicating the remaining amount of plasticizer is displayed together with the gauge.

[0221] On the illustrated result determination screen Q22c shown in Figure 47, the degree of deterioration of the waterproof sheet B1 is determined in four levels from A determination to D determination as an example according to the remaining amount of plasticizer. On the result determination screen Q22c, the gauge indicating the remaining amount of plasticizer is distinguished in four ranges according to the determination result.

[0222] The gauge indicating the remaining amount of plasticizer makes it easier for the first user U10 to visually understand the determination result. Also, compared to the case where only the determination result is shown as discrete values, it becomes easier to quantitatively understand the determination result based on the remaining amount of plasticizer.

[0223] Note that information on the building A1 may be displayed on the result determination screen Q2 together with the determination result. For example, information such as <construction year>, <waterproof sheet construction>, <outer wall painting construction>, or <other renovations> included in the above-described list of neighboring buildings (Figure 38) may be displayed together with the determination result. Also, the result determination screen Q2 may be displayed on the second terminal device 7B. For example, on the measurement result screen P1 (Figure 23) described above, the result determination screen Q2 may be displayed.

[0224] As described above, the proposed system 1B according to the present embodiment includes a measurement data acquisition unit 400B, a calculation unit 401B, a proposed information generation unit 402B, and an output unit 405B. The measurement data acquisition unit 400B acquires measurement data C10 regarding the waterproof sheet B10 constructed outside the building A10. The calculation unit 401B calculates the degree of deterioration of the waterproof sheet B10 from the measurement data C10 based on the first relationship information 410B indicating the relationship between the measurement data C10 and the degree of deterioration of the waterproof sheet B10. The proposed information generation unit 402B generates proposed information E10 indicating the service to be proposed to the customer regarding the building A10 from the degree of deterioration calculated by the calculation unit 401B based on the second relationship information 411B indicating the relationship between the candidate proposed information 600B indicating the candidates for the service to be proposed to the customer regarding the building A10 and the degree of deterioration of the waterproof sheet B10. The output unit 405B outputs the proposed information E10 generated by the proposed information generation unit 402B.

[0225] With this configuration, in the proposed system 1B according to the present embodiment, since the proposed information E10 can be generated from the measured degree of deterioration of the waterproof sheet B10, an appropriate service regarding the building can be proposed according to the degree of deterioration of the building.

[0226] When the degree of deterioration is such that the waterproof sheet needs to be replaced, it is considered that the building itself has aged. For example, it is considered that the deterioration of the waterproof sheet has a strong correlation with the external painting and the deterioration of the external members of the building. It is possible to estimate the replacement time not only for the waterproof sheet but also for the painting and the external members of the building.

[0227] In addition, it is considered that the deterioration of the waterproof sheet is also correlated with the deterioration of facilities such as water heaters, solar power generation, and intercoms, which are particularly outdoors. It is also possible to estimate the replacement time for such facilities. In addition, since the deterioration of the waterproof sheet symbolizes the environment in which the entire building is placed, the deterioration of the waterproof sheet is correlated with the budget required for building renovation, and the building renovation can be estimated roughly.

[0228] In addition, if a regression model (correlation model, the second relationship information 411B in the present embodiment) that takes into account not only the degree of deterioration of the waterproof sheet but also the building information as described above is created, more accurate prediction can be performed. In addition, in a building that has aged, the family composition of the residents can change. By including the family composition in the building information as in the present embodiment, services corresponding to the family composition can be inferred.

[0229] In the proposed system 1B according to the present embodiment, it is possible to propose services for a building such as maintenance to the residents who are customers of the housing contractor at an appropriate time, and the measurement of the degree of deterioration of the waterproof sheet can be linked to the proposal of a comfortable living space.

[0230] The proposed system 1B of the present embodiment may measure the risk (damage risk) of the waterproof sheet B1 being damaged instead of or together with the degree of deterioration of the waterproof sheet, and propose a service. Also in the case of measuring the damage risk, in the above-described configuration, by using the damage risk instead of the degree of deterioration, the proposed system 1B can measure the damage risk in the same manner as the above-described configuration. For example, instead of the first relationship information 410B, information indicating the relationship between the measurement data C10 and the damage risk may be used. Further, instead of the second relationship information 411B, information indicating at least the relationship between the candidate proposal information 600B and the damage risk may be used.

[0231] Note that the above-described first embodiment, second embodiment, and third embodiment can be combined as appropriate.

[0232] Note that the functions of any component in any device (terminal device and server) of the above-described embodiments may be provided in any of the arbitrary devices (terminal device and server). However, by providing the functions of the component in the server rather than in the terminal device as in the above-described embodiments, the configuration of the terminal device can be simplified. Therefore, the cost of the entire system can be reduced compared to the case where the terminal device has many functions.

[0233] In addition, a program for realizing the functions of any component in any of the devices described above may be recorded on a computer-readable recording medium, and the program may be read into a computer system and executed. Here, the "computer system" is assumed to include an operating system or hardware such as peripheral devices. Also, the "computer-readable recording medium" refers to a portable medium such as a flexible disk, a magneto-optical disk, a ROM, a CD (Compact Disc)-ROM (Read Only Memory), or a storage device such as a hard disk built into a computer system. Furthermore, the "computer-readable recording medium" also includes a volatile memory inside a computer system that becomes a server or a client when a program is transmitted via a network such as the Internet or a communication line such as a telephone line, and holds the program for a certain period of time. The volatile memory may be, for example, a RAM (Random Access Memory). The recording medium may be, for example, a non-transitory recording medium.

[0234] Also, the above program may be transmitted from a computer system storing the program in a storage device or the like to another computer system via a transmission medium or by a transmission wave in the transmission medium. Here, the "transmission medium" for transmitting the program refers to a medium having a function of transmitting information, such as a network such as the Internet or a communication line such as a telephone line. Also, the above program may be for realizing a part of the functions described above. Furthermore, the above program may be a so-called differential file that can be realized in combination with a program already recorded in the computer system and having the functions described above. The differential file may be called a differential program.

[0235] Also, the functions of any component in any of the devices described above may be realized by a processor. For example, each process in the embodiments may be realized by a processor that operates based on information such as a program and a computer-readable recording medium that stores information such as a program. Here, the processor may be realized by, for example, individual hardware for each function, or the functions of each part may be realized by integrated hardware. For example, the processor includes hardware, and the hardware may include at least one of a circuit that processes digital signals and a circuit that processes analog signals. For example, the processor may be configured using one or more circuit devices mounted on a circuit board, or one or both of one or more circuit elements. As the circuit device, an IC (Integrated Circuit) or the like may be used, and as the circuit element, a resistor or a capacitor or the like may be used.

[0236] Here, the processor may be, for example, a CPU. However, the processor is not limited to a CPU, and various processors such as a GPU (Graphics Processing Unit) or a DSP (Digital Signal Processor) may be used. Also, the processor may be, for example, a hardware circuit by an ASIC (Application Specific Integrated Circuit). Also, the processor may be configured by, for example, a plurality of CPUs, or may be configured by a hardware circuit by a plurality of ASICs. Also, the processor may be configured by, for example, a combination of a plurality of CPUs and a hardware circuit by a plurality of ASICs. Also, the processor may include, for example, one or more of an amplifier circuit or a filter circuit that processes analog signals.

[0237] The embodiments of the present invention have been described in detail with reference to the drawings above. However, the specific configuration is not limited to the above, and various design changes and the like can be made without departing from the gist of the present invention. For example, the configurations described in each embodiment may be combined.

Explanation of Reference Signs

[0238] 1B... Proposal system, 2B... Measurement sensor, 3B... First terminal device, 4B... Server, 5B... Bui lding information server, 6B... Proposal information server, 7B... Second terminal device, 400B... Measurement data acquisition section, 401B... Calculation section, 402B... Proposal information generation section, 405B... Output section, 410B... First relationship information, 411B... Second relationship information, A10... Building, B10... Waterproof sheet, C10... Measurement data, E10... Proposal information

Claims

1. A measurement data acquisition unit that acquires measurement data regarding a waterproof sheet constructed outside a building; A calculation unit that calculates the degree of deterioration of the waterproof sheet from the measurement data based on first relationship information indicating the relationship between the measurement data and the degree of deterioration of the waterproof sheet, which is the degree of deterioration of the waterproof sheet; A proposal information generation unit that generates proposal information indicating the service based on second relationship information indicating the relationship between candidate proposal information indicating candidates for services to be proposed to a customer regarding the building and the degree of deterioration of the waterproof sheet, from the degree of deterioration of the waterproof sheet calculated by the calculation unit; An output unit that outputs the proposal information generated by the proposal information generation unit; A proposal system comprising the above.

2. The second relationship information indicates the relationship between building information, which is information about the building, the candidate proposal information, and the degree of deterioration of the waterproof sheet, The proposal information generation unit generates the proposal information from the degree of deterioration of the waterproof sheet calculated by the calculation unit and the building information based on the second relationship information. The proposal system according to Claim 1.

3. The second relationship information indicates the relationship between the degree of deterioration of the waterproof sheet, the building information, and the candidate proposal information, The proposal information generation unit generates the proposal information from the degree of deterioration of the waterproof sheet calculated by the calculation unit and the building information based on the second relationship information. The proposal system according to Claim 2.

4. The building information includes neighboring building information indicating the degree of deterioration of buildings neighboring the building, The candidate proposal information includes waterproof sheet construction work, exterior wall painting work, and renovation, The second relationship information includes the relationship between the degree of deterioration of the waterproof sheet and the neighboring building information, and the relationship between the neighboring building information and the candidate proposal information, The proposal information generation unit generates the proposal information from the degree of deterioration of the waterproof sheet calculated by the calculation unit and the neighboring building information based on the second relationship information. The proposal system according to Claim 3.

5. The second relationship information includes third relationship information indicating the relationship between the degree of deterioration of the waterproof sheet and the building information, and fourth relationship information indicating the relationship between the building information and the candidate proposal information, The proposal information generation unit calculates the building information calculated from the degree of deterioration of the waterproof sheet calculated by the calculation unit based on the third relationship information, and generates the proposal information from the calculated building information based on the fourth relationship information. The proposal system according to claim 2.

6. The building information includes the degree of painting of the building or the degree of deterioration of the building, which is the degree of deterioration of external members, The third relationship information indicates the relationship between the degree of deterioration of the waterproof sheet and the degree of deterioration of the building, The fourth relationship information indicates the relationship between the degree of deterioration of the building and the candidate proposal information, Based on the third relationship information, the proposal information generation unit calculates the degree of deterioration of the building calculated from the degree of deterioration of the waterproof sheet calculated by the calculation unit, and based on the fourth relationship information, generates the proposal information from the calculated degree of deterioration of the building. The proposal system according to claim 5.

7. The candidate proposal information includes services other than the service for the waterproof sheet. The proposal system according to claim 5.

8. The proposal system further includes an estimate calculation unit that calculates an estimate of the cost of the service indicated by the proposal information based on the proposal information generated by the proposal information generation unit. The proposal system according to claim 2.

9. The proposal system further includes a display screen generation unit that generates a screen for causing the degree of deterioration of the waterproof sheet. The proposal system according to claim 1.

10. The proposal system further includes a display screen generation unit that generates a screen for displaying the proposal information on a display device. The proposal system according to claim 1.

11. The display screen generation unit generates an application screen for applying for the service indicated by the proposal information. The proposal system according to claim 10.

12. The calculation unit calculates, as the degree of deterioration of the waterproof sheet, one or more of a ratio to a reference value and the number of years elapsed calculated based on a predetermined relationship between the degree of deterioration of the waterproof sheet and the number of years elapsed. The proposal system according to claim 1.

13. A computer acquires measurement data on a waterproof sheet constructed outside a building, calculates the degree of deterioration of the waterproof sheet from the measurement data based on first relationship information indicating the relationship between the measurement data and the degree of deterioration of the waterproof sheet, which is the degree of deterioration of the waterproof sheet, generates proposal information indicating the service from the calculated degree of deterioration of the waterproof sheet based on second relationship information indicating the relationship between candidate proposal information indicating candidates for services to be proposed to a customer for the building and the degree of deterioration of the waterproof sheet, outputs the generated proposal information, and executes a proposal method.

14. Cause a computer to acquire measurement data about a waterproof sheet constructed outside a building, calculate the degree of deterioration of the waterproof sheet from the measurement data based on first relationship information indicating the relationship between the measurement data and the degree of deterioration of the waterproof sheet, which is the degree of deterioration of the waterproof sheet, generate proposal information indicating the service to be proposed to a customer for the building based on second relationship information indicating the relationship between candidate proposal information indicating candidates for the service and the degree of deterioration of the waterproof sheet, from the calculated degree of deterioration of the waterproof sheet, output the generated proposal information, and a program for causing the above to be executed.

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