Housing evaluation device, housing evaluation method, and program

Abstract

In the conventional house evaluation device, it is difficult to evaluate a house properly.SOLUTION: The house evaluation device 1 comprises a sensor value storage unit 111 in which two or more sensor values in a time series acquired by two or more sensors in a house or in the surrounding environment of one house are stored for each sensor, an evaluation unit 132 that acquires an evaluation value of a house using two or more sensor values in a time series for each of two or more sensors, and an evaluation output unit 142 that outputs the evaluation value. The house evaluation device enables appropriate house evaluation using two or more sensor values in a time series.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present invention relates to a home appraisal device that acquires and outputs an appraisal value of a home. [Background technology]

[0002] Conventionally, there has been an information processing device capable of evaluating a house, which includes a first acquisition unit that acquires information about a travel route between predetermined points of interest from information about the layout of the house, a second acquisition unit that acquires information about the user's attributes, and an evaluation unit that evaluates the house based on the travel route and information about the user's attributes (see Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent No. 6969830 Summary of the Invention [Problem to be solved by the invention]

[0004] However, in the conventional technology, it is only possible to evaluate a house from the viewpoint of ease of use, and it is difficult to evaluate a house more appropriately. [Means for solving the problem]

[0005] The home evaluation device of the first invention is a home evaluation device comprising a sensor value storage unit in which two or more time-series sensor values ​​acquired by two or more sensors present within a home or in the surrounding environment of a home are stored for each sensor, an evaluation unit that acquires an evaluation value for the home using the two or more time-series sensor values ​​of each of the two or more sensors, and an evaluation output unit that outputs the evaluation value.

[0006] With this configuration, it is possible to appropriately evaluate a home using two or more time-series sensor values.

[0007] In addition, compared to the first invention, the housing evaluation device of the second invention further includes a sensor value receiving unit that receives sensor values ​​associated with an installation location identifier from each of two or more sensors, the two or more sensor values ​​in the sensor value storage unit are sensor values ​​received by the sensor value receiving unit, and the evaluation unit is a housing evaluation device that obtains an evaluation value for each of the two or more locations using the installation location identifier.

[0008] With this configuration, evaluation can be performed for each location of the house using two or more time-series sensor values.

[0009] Furthermore, the housing evaluation device of the third invention is a housing evaluation device in which, compared to the first or second invention, the sensor values ​​correspond to a sensor type identifier that identifies the type of sensor, and the evaluation unit obtains an evaluation value using two or more sensor values ​​corresponding to each of the two or more sensor type identifiers.

[0010] With this configuration, it is possible to appropriately evaluate a house using two or more time-series sensor values.

[0011] Furthermore, the housing evaluation device of the fourth invention is a housing evaluation device in which, compared to any one of the first to third inventions, the evaluation unit obtains a sub-evaluation value using one or more sensor values ​​for each of two or more perspectives, and the evaluation output unit outputs the sub-evaluation value for each of the two or more perspectives.

[0012] With this configuration, it is possible to appropriately evaluate a house from two or more perspectives using two or more time-series sensor values.

[0013] In addition, the housing evaluation device of the fifth invention is a housing evaluation device that, compared to the fourth invention, stores evaluable conditions for each of two or more perspectives, and further includes a judgment unit that judges whether two or more time-series sensor values ​​for each of the two or more perspectives satisfy the conditions, and a judgment result output unit that outputs the judgment result of the judgment unit.

[0014] With this configuration, it is possible to use two or more time-series sensor values ​​to more appropriately evaluate a house from two or more perspectives.

[0015] In addition, the housing evaluation device of the sixth invention is a housing evaluation device in which, compared to the fifth invention, the evaluation unit obtains an overall evaluation value using one or more sub-evaluation values, and the greater the number of sub-evaluation values, the higher the overall evaluation value obtained compared to when there are fewer sub-evaluation values.

[0016] With this configuration, it is possible to use two or more time-series sensor values ​​to more appropriately evaluate a house from two or more perspectives.

[0017] Furthermore, the housing evaluation device of the seventh invention is a housing evaluation device in which, compared to any one of the first to sixth inventions, the evaluation unit acquires period information relating to a period during which each of two or more sensor values ​​in the time series satisfies poor conditions, and the longer the period information indicates, the lower the evaluation value acquired.

[0018] With this configuration, it is possible to appropriately evaluate a house using two or more time-series sensor values. [Effects of the Invention]

[0019] The home evaluation device of the present invention can appropriately evaluate a home using two or more time-series sensor values. [Brief explanation of the drawings]

[0020] [Figure 1] Conceptual diagram of a home evaluation system A according to the first embodiment [Figure 2] Block diagram of the housing evaluation system A [Figure 3] A flowchart illustrating an example of the operation of the housing evaluation device 1. [Figure 4] A flowchart illustrating an example of the evaluation process [Figure 5] Figure 10 shows the sensor information management table [Figure 6] A diagram showing the poor conditions management table [Figure 7] The figure shows the evaluation source information management table. [Figure 8] Figure showing an example of the output [Figure 9]Overview of the computer system [Figure 10] Block diagram of the computer system DETAILED DESCRIPTION OF THE INVENTION

[0021] Hereinafter, embodiments of a home appraisal device and the like will be described with reference to the drawings. Note that components with the same reference numerals in the embodiments perform similar operations, and therefore repeated description may be omitted.

[0022] (Embodiment 1) In this embodiment, a home appraisal device that uses two or more time-series sensor values ​​to acquire and output an appraisal value for a home will be described.

[0023] In this embodiment, a home appraisal device that appraises a home from two or more perspectives will be described.

[0024] Furthermore, in this embodiment, a home appraisal device will be described that determines whether appraisal is possible or not in accordance with acquired sensor values ​​among the appraisals from two or more perspectives, and outputs the judgment result.

[0025] In this specification, information X being associated with information Y means that information Y can be obtained from information X, or information X can be obtained from information Y, and the method of association is not important. Information X and information Y may be linked, may exist in the same buffer, information X may be included in information Y, or information Y may be included in information X, etc.

[0026] 1 is a conceptual diagram of a home appraisal system A according to this embodiment. The home appraisal system A comprises a home appraisal device 1 and one or more sensors 2.

[0027] The home evaluation device 1 is a device that acquires the evaluation value of a home using two or more time-series sensor values. The home evaluation device 1 is, for example, a so-called server, such as a cloud server or ASP server. The home evaluation device 1 is also, for example, a so-called personal computer, tablet terminal, smartphone, etc. However, the type of the home evaluation device 1 is not important.

[0028] Sensor 2 is a device that acquires sensor values ​​used for evaluating a home. Sensor 2 may also be a device that acquires information that is the basis of the sensor values. Sensor 2 is, for example, a camera, a temperature sensor, a humidity sensor, a water sensor (which may also be called a water detection sensor), a light sensor, a smoke sensor, or a window open / close sensor. However, the type of Sensor 2 is not important. Sensor values ​​include, for example, images acquired by a camera, information acquired from images acquired by a camera (e.g., the presence or absence of cracks in the wall, the size of the cracks in the wall), temperature, humidity, information indicating that water has been detected, information indicating whether water has been detected, luminous intensity, information indicating that smoke has been detected, information indicating whether smoke has been detected, information indicating whether a window has been opened or closed, and information indicating whether a window has been opened or closed.

[0029] It is preferable that the home evaluation device 1 and the one or more sensors 2 are capable of communicating with each other via the Internet, a LAN, a telephone network, or the like.

[0030] 2 is a block diagram of a home appraisal system A according to this embodiment. The home appraisal device 1 constituting the home appraisal system A comprises a storage unit 11, a reception unit 12, a processing unit 13, and an output unit 14. The storage unit 11 comprises a sensor value storage unit 111 and a condition storage unit 112. The reception unit 12 comprises a sensor value receiving unit 121 and a sensor value receiving unit 122. The processing unit 13 comprises a judgment unit 131 and an evaluation unit 132. The output unit 14 comprises a judgment result output unit 141 and an evaluation output unit 142.

[0031] Various types of information are stored in the storage unit 11 that constitutes the home evaluation device 1. The various types of information include, for example, sensor values, conditions to be described later, and a learning device.

[0032] The learning device is information used when the evaluation unit 132 performs prediction processing using a machine learning algorithm and acquires an evaluation value. The learning device is configured by the evaluation unit 132, for example, as described below. The learning device may also be called a learning model, a predictor, a prediction model, or simply a model.

[0033] The sensor value storage unit 111 stores two or more time-series sensor values ​​for one or two or more sensors.

[0034] The sensor value is information acquired by the sensor 2. The sensor value may be considered to include information acquired based on information acquired by the sensor 2. The sensor 2 is located inside the home or in the surrounding environment of the home.

[0035] The two or more sensor values ​​in a time series are sensor values ​​corresponding to different times. The time of the sensor value may be the time when the sensor value is acquired by the sensor, the time when the sensor value is received, or the time when the sensor value is input. The time may be an hour, a day, a month, etc.

[0036] Each of the two or more sensor values ​​in the sensor value storage unit 111 corresponds to, for example, a house identifier, a sensor identifier, a sensor type identifier, and time information.

[0037] A home identifier is information that identifies a home, such as a home ID, a home owner ID, or a home owner name.

[0038] The sensor identifier is information that identifies one sensor 2. The sensor identifier is, for example, a sensor ID, a set of an installation location identifier, and a sensor type identifier.

[0039] The installation location identifier is information that identifies the installation location of the sensor 2. The installation location identifier is, for example, an installation location ID or an installation location name (for example, "outdoors," "under the floor," "roof," "attic," "living room," or "kitchen").

[0040] The sensor type identifier is information that identifies the type of sensor 2. The sensor type identifier is, for example, an ID of the type of sensor 2, or a name of the type of sensor 2 (for example, "camera," "temperature sensor," "temperature," "humidity sensor," "humidity," "smoke sensor," or "smoke"). Note that the smoke is, for example, cigarette smoke.

[0041] The time information is information that specifies the time when the sensor value was acquired, such as the date, time, date, and month.

[0042] It is preferable that two or more pieces of sensor information each having a sensor value are stored in the sensor value storage unit 111. The sensor information includes, for example, a house identifier, an installation location identifier, a sensor type identifier, and time information.

[0043] One or more conditions are stored in the condition storage unit 112. The conditions are, for example, poor conditions and evaluation conditions.

[0044] Poor conditions are conditions that are deemed to be poor. Note that poor may simply mean poor. Poor conditions are typically conditions related to sensor values. Examples of poor conditions include "humidity being equal to or greater than a first threshold (e.g., 80%) or a period of time that is higher than the first threshold being equal to or greater than a second threshold (e.g., 30 days) or longer than the second threshold," "a period of time that cracks exist in the wall being equal to or greater than a third threshold (e.g., 100 days) or longer than the third threshold," "the cumulative time that temperature is equal to or greater than a fourth threshold (e.g., 38°C) or higher than the fourth threshold being equal to or greater than a fifth threshold (e.g., 1000 hours) or longer than the fifth threshold," "a period of time that the water sensor detects water being equal to or greater than a sixth threshold (e.g., 500 hours) or longer than the sixth threshold," "humidity being equal to or greater than the first threshold," "a crack exists in the wall," "temperature being equal to or greater than a fourth threshold (e.g., 38°C) or higher than the fourth threshold," and "the water sensor detecting water."

[0045] Evaluation conditions are conditions for calculating an evaluation value from a target perspective. Evaluation conditions may also be conditions for determining whether or not the sensor values ​​required to calculate an evaluation value from a target perspective are available. Evaluation conditions are usually conditions related to the acquired sensor values. Evaluation conditions are usually conditions related to the type of acquired sensor values. Examples of evaluation conditions are "<Perspective> Outdoor <Condition> Images of exterior walls and seismic strength information are available" and "<Perspective> Indoor <Condition> Humidity, temperature, and smoke sensor information are available."

[0046] The receiving unit 12 receives various types of information and instructions, such as sensor values, sensor information, and start instructions.

[0047] The start instruction is an instruction to start the evaluation of a home. The start instruction includes, for example, a home identifier. This home identifier is information that identifies the home to be evaluated.

[0048] Here, reception is a concept that includes reception of information input from input devices such as a keyboard, mouse, or touch panel, reception of information transmitted via a wired or wireless communication line, and reception of information read from recording media such as an optical disk, magnetic disk, or semiconductor memory.

[0049] The means for inputting various information and instructions may be any means, such as a numeric keypad, keyboard, mouse, or menu screen.

[0050] The sensor value receiving unit 121 receives sensor values ​​from each of two or more sensors 2. It is preferable that the sensor value receiving unit 121 receives sensor values ​​associated with an installation location identifier from the sensors 2. It is preferable that the sensor value receiving unit 121 receives sensor values ​​associated with a house identifier and an installation location identifier from the sensors 2. It is preferable that the sensor value receiving unit 121 receives sensor values ​​associated with a sensor type identifier from the sensors 2.

[0051] The sensor value receiving unit 122 receives a sensor value input by a user. The sensor value receiving unit 122 may also receive sensor information input by a user. The sensor value is usually information acquired by the sensor 2, but may be information (e.g., information indicating the presence of a crack) acquired from information acquired by the sensor 2 (e.g., an image captured by a camera), or may not be information acquired by the sensor 2. The sensor value receiving unit 122 receives, for example, the results of a seismic strength inspection, an exterior wall crack inspection, a termite inspection, a rain leak inspection, a heat insulation inspection, an airtightness inspection, a leakage inspection, a wall damage inspection, a foundation crack inspection, a stair inspection, a handrail inspection, a water supply equipment inspection, a hot water equipment inspection, a ventilation equipment inspection, a fire alarm inspection, and a roof deterioration inspection.

[0052] Here, "reception" usually refers to the reception of information input from an input device such as a keyboard, mouse, or touch panel.

[0053] The processing unit 13 performs various types of processing. The various types of processing are, for example, processing performed by a determination unit 131 and an evaluation unit 132.

[0054] The determination unit 131 determines whether or not two or more time-series sensor values ​​satisfy the evaluation condition for each of two or more viewpoints. Note that the viewpoint may be a location (e.g., outdoors, under the floor, indoors, attic) or a type of sensor (e.g., temperature sensor, humidity sensor, water sensor, camera).

[0055] When the evaluation condition is "<Perspective> Outdoors <Condition> Images of exterior walls and earthquake resistance strength information are available", the judgment unit 131 judges, for example, whether a sensor value regarding the presence or absence of cracks using an image of the exterior wall and earthquake resistance strength information (an example of a sensor value) exist in the sensor value storage unit 111 in order to obtain an evaluation value for the perspective "outdoors".

[0056] If the evaluation condition is "<Perspective> Indoors <Condition> Humidity, temperature, and smoke sensor information are available", the judgment unit 131 judges whether the sensor value storage unit 111 contains the sensor value (humidity) from the humidity sensor, the sensor value (temperature) from the temperature sensor, and information on the presence or absence of smoke from the smoke sensor, in order to obtain the evaluation value for the perspective "indoors", for example.

[0057] The evaluation unit 132 obtains an evaluation value of the house using two or more time-series sensor values ​​of two or more sensors.

[0058] The evaluation unit 132 uses two or more time-series sensor values ​​of two or more sensors to determine whether one or more poor conditions are satisfied. Next, the evaluation unit 132 acquires an evaluation value that is lower as the poor condition is satisfied.

[0059] The evaluation unit 132 uses two or more sensor values ​​of the time series of two or more sensors to obtain the time during which one or more adverse conditions are met (for example, "the length of time the humidity was 80% or more" or "the length of time the exterior wall with the crack was left unattended").

[0060] For example, the evaluation unit 132 acquires a time series of humidity sensor values ​​and acquires the cumulative time during which the humidity is equal to or greater than the first threshold value. The evaluation unit 132 then acquires a lower evaluation value the longer the cumulative time.

[0061] The evaluation unit 132 acquires, for example, the number of cracks in the exterior wall and the cumulative time during which cracks exist in the exterior wall from two or more images of the exterior wall that are time-series sensor values. The evaluation unit 132 acquires a lower evaluation value as the number of cracks in the exterior wall and the cumulative time increase.

[0062] The evaluation unit 132 acquires, for example, a time-series sensor value of temperature and acquires the cumulative time during which the temperature is equal to or greater than the fourth threshold value. Then, for example, the evaluation unit 132 acquires a lower evaluation value as the cumulative time is longer.

[0063] The evaluation unit 132 acquires, for example, the number of pieces of information indicating that water has been detected, which are time-series sensor values ​​of the water sensor, from the sensor value storage unit 111. Then, for example, the evaluation unit 132 acquires a lower evaluation value as the number of pieces of information indicating that water has been detected increases.

[0064] The evaluation unit 132 uses the installation location identifier to acquire a sub-evaluation value for each of two or more locations. For each of two or more installation location identifiers, the evaluation unit 132 acquires one or more sensor values ​​paired with the installation location identifier from the sensor value storage unit 111, and acquires a sub-evaluation value for each location using the one or more sensor values. Note that the sub-evaluation value for each location is an example of an evaluation value for each perspective. Also, a sub-evaluation value is an evaluation value from one perspective.

[0065] The evaluation unit 132 may also obtain an overall evaluation value for the house using two or more sub-evaluation values ​​for each location. The higher the evaluation value of each location, the higher the overall evaluation value obtained by the evaluation unit 132. For example, the evaluation unit 132 calculates the overall evaluation value using an increasing function with the evaluation value of each location as a parameter. For example, the evaluation unit 132 obtains, from a correspondence table, an evaluation value that pairs with a vector whose elements are the evaluation value of each location and a vector that is most similar to the vector. Note that the correspondence table is, for example, a table having two or more pieces of correspondence information, each containing a vector whose elements are the evaluation value of each location and an evaluation value. The correspondence table is stored, for example, in the storage unit 11.

[0066] The evaluation unit 132 obtains a sub-evaluation value for each sensor type identifier, for example, using two or more sensor values ​​corresponding to each of the two or more sensor type identifiers.

[0067] The evaluation unit 132 acquires an overall evaluation value using one or more sub-evaluation values, and the more sub-evaluation values ​​there are, the higher the overall evaluation value acquired compared to when there are fewer sub-evaluation values. Note that when the number of sub-evaluation values ​​is small, it indicates that there are insufficient sensor values ​​required for evaluation from the viewpoint of not having sub-evaluation values.

[0068] The evaluation unit 132 acquires period information relating to a period during which two or more time-series sensor values ​​satisfy a poor condition, and acquires a lower evaluation value as the period information indicates a longer period. Poor conditions include, for example, "humidity above a threshold," "temperature above a threshold," "water detected," "smoke detected," and "cracks in the exterior wall."

[0069] More specifically, the evaluation unit 132 acquires the evaluation value using, for example, one or more parameters. The parameters are, for example, two or more sensor values ​​in a time series, or information acquired from two or more sensor values ​​in a time series. The parameters are, for example, the sensor value, the amount of change in the sensor value over time, the amount of change in the sensor value per unit time, the time during which the sensor value satisfied the poor condition, information indicating whether the sensor value satisfied the poor condition, the degree to which the sensor value satisfied the poor condition, the number of times the sensor value satisfied the poor condition, or the number of times per unit period during which the sensor value satisfied the poor condition.

[0070] The evaluation unit 132 calculates the evaluation value using, for example, an arithmetic expression that uses one or more parameters. The evaluation unit 132 also calculates the evaluation value using, for example, one or more parameters through a machine learning prediction process. The evaluation unit 132 calculates the evaluation value using, for example, one or more parameters based on a correspondence table. Each method that the evaluation unit 132 can use will be described below. Using an arithmetic expression

[0071] The evaluation unit 132 acquires, for example, information to be used as parameters of the arithmetic formula for each evaluation target using one or more sensor values. This information includes, for example, the sensor value, the amount of change in the sensor value over time, the amount of change in the sensor value per unit time, the time during which the sensor value satisfied the poor condition, information indicating whether the sensor value satisfied the poor condition, the degree to which the sensor value satisfied the poor condition, the number of times the sensor value satisfied the poor condition, and the number of times per unit period the sensor value satisfied the poor condition. The arithmetic formula is stored in the storage unit 11.

[0072] The evaluation targets are one house, one location in one house, and one type of one house. The one type may be, for example, humidity, temperature, or smoke. (2) Machine learning method

[0073] The evaluation unit 132 or a learning unit (not shown) acquires two or more pieces of teacher data from the storage unit 11. Next, the evaluation unit 132 or a learning unit (not shown) performs machine learning learning processing using the two or more pieces of teacher data, acquires a learning device, and stores it in the storage unit 11.

[0074] The training data is information in which one or more parameters are used as explanatory variables and the evaluation value is used as a response variable. The training data is, for example, a vector whose elements are one or more explanatory variables and a response variable.

[0075] Then, for example, the evaluation unit 132 acquires one or more parameters for each evaluation target from the sensor value storage unit 111. Next, the evaluation unit 132 provides the one or more parameters and the learning unit of the storage unit 111 to a module that performs machine learning prediction processing, executes the module, and acquires an evaluation value.

[0076] The parameters are, for example, the sensor value, the amount of change in the sensor value over time, the amount of change in the sensor value per unit time, the time during which the sensor value satisfied the poor conditions, information indicating whether the sensor value satisfied the poor conditions, the degree to which the sensor value satisfied the poor conditions, the number of times the sensor value satisfied the poor conditions, and the number of times per unit period that the sensor value satisfied the poor conditions.

[0077] The machine learning algorithm can be any algorithm, such as deep learning, random forest, SVR, etc. For machine learning, various machine learning modules can be used, such as the TensorFlow library, the random forest module in the R language, TinySVM, etc. The modules can also be called functions, methods, or libraries. (3) Using a correspondence table

[0078] For example, the evaluation unit 132 acquires one or more parameters for each evaluation target from the sensor value storage unit 111. Next, the evaluation unit 132 constructs a vector having the one or more parameters as elements. Next, the evaluation unit 132 acquires an evaluation value paired with a vector that is most similar to the vector from the correspondence table.

[0079] The correspondence table is a table having two or more pieces of correspondence information each having a vector with one or more parameters as elements and an evaluation value. The correspondence table is stored in the storage unit 11.

[0080] The output unit 14 outputs various types of information, such as the determination results and evaluation values ​​described below.

[0081] Here, output is a concept that includes displaying on a display, projection using a projector, printing on a printer, sound output, transmission to an external device, storage on a recording medium, and delivery of processing results to other processing devices or other programs.

[0082] The determination result output unit 141 outputs the determination result made by the determination unit 131. The determination result may be output in any manner.

[0083] The evaluation output unit 142 outputs the evaluation value acquired by the evaluation unit 132. It is preferable that the evaluation output unit 142 outputs a sub-evaluation value for each of two or more viewpoints.

[0084] The storage unit 11, the sensor value storage unit 111, and the condition storage unit 112 are preferably non-volatile recording media, but may also be realized as volatile recording media.

[0085] There is no restriction on the process by which information is stored in the storage unit 11 etc. For example, information may be stored in the storage unit 11 etc. via a recording medium, information transmitted via a communication line etc. may be stored in the storage unit 11 etc., or information input via an input device may be stored in the storage unit 11 etc.

[0086] The accepting unit 12 and the sensor value receiving unit 121 are usually realized by wireless or wired communication means, but may also be realized by means for receiving broadcasts.

[0087] The receiving unit 12 and the sensor value receiving unit 122 can be realized by a device driver for an input means such as a touch panel or a keyboard, or control software for a menu screen.

[0088] The processing unit 13, the determination unit 131, and the evaluation unit 132 can usually be realized by a processor, a memory, etc. The processing procedures of the processing unit 13, etc. are usually realized by software, and the software is recorded on a recording medium such as a ROM. However, they may also be realized by hardware (dedicated circuit). The processor may be a CPU, MPU, GPU, etc., and the type does not matter.

[0089] The output unit 14, the judgment result output unit 141, and the evaluation output unit 142 may or may not include output devices such as a display, a speaker, etc. The output unit 14 may be realized by driver software for an output device, or a combination of driver software for an output device and the output device, etc.

[0090] Next, an example of the operation of the home appraisal device 1 constituting the home appraisal system A will be described with reference to the flowchart of FIG.

[0091] (Step S301) The sensor value receiving unit 121 determines whether or not a sensor value has been received. If a sensor value has been received, the process proceeds to step S302, and if a sensor value has not been received, the process proceeds to step S304.

[0092] (Step S302) The processing unit 13 composes sensor information having the sensor value received in step S301, the house identifier, the installation location identifier, the sensor type identifier, and the time information corresponding to the sensor value.

[0093] The processing unit 13 generates sensor information having, for example, a house identifier, an installation location identifier, and a sensor type identifier that correspond to the sensor value received in step S301. The processing unit 13 may obtain the time information that constitutes the sensor information from a clock (not shown), or may obtain the received time information if it is received in step S301.

[0094] (Step S303) The processing unit 13 stores the sensor information constructed in step S302 in the sensor value storage unit 111. The process returns to step S301.

[0095] (Step S304) The sensor value receiving unit 122 determines whether or not the sensor information has been received. If the sensor information has been received, the process proceeds to step S305, and if not, the process proceeds to step S306.

[0096] (Step S305) The processing unit 13 stores the sensor information received in step S304 in the sensor value storage unit 111. The process returns to step S301.

[0097] (Step S306) The reception unit 12 determines whether or not a start instruction has been received. If a start instruction has been received, the process proceeds to step S307, and if not, the process returns to step S301.

[0098] (Step S307) The processing unit 13 performs a process of evaluating the house. An example of such evaluation process will be described with reference to the flowchart of FIG.

[0099] (Step S308) The determination result output unit 141 outputs the determination result that is the result of the determination process performed in step S307.

[0100] (Step S309) The evaluation output unit 142 outputs the evaluation value acquired in step S307. The process returns to step S301.

[0101] In the flowchart of FIG. 3, the process ends when the power is turned off or an interrupt occurs to end the process.

[0102] Next, an example of the evaluation process in step S307 will be described with reference to the flowchart in FIG.

[0103] (Step S401) The evaluation unit 132 acquires the house identifier included in the start instruction.

[0104] (Step S402) The evaluation unit 132 assigns 1 to the counter i.

[0105] (Step S403) The evaluation unit 132 determines whether or not the jth viewpoint exists. If the jth viewpoint exists, the process proceeds to step S404, and if the jth viewpoint does not exist, the process proceeds to step S414. Note that the viewpoints are, for example, predetermined. The viewpoints are, for example, the location of the house and the sensor type identifier.

[0106] (Step S404) The evaluation unit 132 assigns 1 to the counter j.

[0107] (Step S405) The evaluation unit 132 determines whether or not the jth type identifier of the sensor to be used in the evaluation of the i-th viewpoint exists. If the jth type identifier exists, the process proceeds to step S406, and if the jth type identifier does not exist, the process proceeds to step S411. Note that the types of sensors to be used in the evaluation of the i-th viewpoint are usually determined in advance.

[0108] (Step S406) The evaluation unit 132 acquires from the sensor value storage unit 111 one or more sensor values ​​that correspond to the i-th viewpoint and are paired with the j-th type identifier.

[0109] (Step S407) The evaluation unit 132 determines whether to use poor conditions in the evaluation using the sensor value identified by the jth type identifier of the sensor used in the evaluation of the i-th viewpoint. If poor conditions are to be used, the process proceeds to step S408, and if poor conditions are not to be used, the process proceeds to step S409.

[0110] In addition, whether or not to use poor conditions in an evaluation using a sensor value identified by the jth type identifier of a sensor used in an evaluation of the i-th viewpoint is usually determined in advance.

[0111] (Step S408) The evaluation unit 132 acquires poor conditions corresponding to the j-th type identifier from the condition storage unit 112. The evaluation unit 132 acquires information to be used in determining poor conditions using one or more sensor values ​​acquired in step S406. Note that the information to be used in determining poor conditions is, for example, the cumulative time that humidity was above a threshold, the cumulative time that temperature was above a threshold, the number of cracks in the exterior wall, and the cumulative time that cracks existed in the exterior wall.

[0112] (Step S409) The evaluation unit 132 acquires a sub-evaluation value corresponding to the j-th type identifier in the i-th perspective, using one or more sensor values ​​acquired in step S406, or the information used to determine whether the conditions are poor obtained in step S409, or one or more sensor values ​​acquired in step S406 and the information used to determine whether the conditions are poor obtained in step S409. The sub-evaluation value indicates, for example, whether the conditions match the poor conditions, or the degree to which the conditions match the poor conditions (for example, the cumulative time that the humidity was above a threshold, the cumulative time that the temperature was above a threshold, the number of cracks in the exterior wall, or the cumulative time in a situation where cracks exist in the exterior wall).

[0113] (Step S410) The evaluation unit 132 increments the counter j by 1. The process returns to step S405.

[0114] (Step S411) The judgment unit 131 acquires the evaluation condition corresponding to the i-th perspective from the condition storage unit 112. Next, the judgment unit 131 judges whether the sub-evaluation values ​​corresponding to each of the one or more type identifiers acquired in step S409 satisfy the evaluation condition (whether evaluation from the i-th perspective is possible). If the evaluation condition is satisfied, the process proceeds to step S412; if not, the process proceeds to step S413.

[0115] (Step S412) The evaluation unit 132 acquires a sub-evaluation value for the i-th viewpoint using the sub-evaluation values ​​corresponding to the one or more type identifiers acquired in step S409.

[0116] The evaluation unit 132 acquires a larger sub-evaluation value for the i-th viewpoint as the sub-evaluation value corresponding to each of the one or more type identifiers acquired in step S409 increases.

[0117] (Step S413) The evaluation unit 132 increments the counter i by 1. The process returns to step S403.

[0118] (Step S414) The evaluation unit 132 obtains a comprehensive evaluation value using the sub-evaluation values ​​of one or more aspects obtained in step S411, and returns to the upper-level processing.

[0119] The overall evaluation value may be simply referred to as the evaluation value. The larger the sub-evaluation value of each of the one or more aspects, the larger the overall evaluation value.

[0120] A specific example of the operation of the home evaluation system A in this embodiment will now be described.

[0121] Now, let us assume that the sensor value receiving unit 121 of the home evaluation device 1 has received sensor information including sensor values ​​from two or more sensors 2 (e.g., temperature sensors, humidity sensors, water sensors, cameras) installed in one or more homes or in the surrounding environment of each home (e.g., the home's garden, exterior wall). Note that here, it is assumed that the sensor value receiving unit 121 also receives a home identifier, type identifier, and installation location identifier in addition to the sensor values.

[0122] Then, the processing unit 13 analyzes the image (image of the exterior wall) received from the camera and obtains the number of crack locations. Note that the technique for analyzing the image of the exterior wall and obtaining the number of crack locations is a well-known image analysis technique, so a detailed description thereof will be omitted here.

[0123] The processing unit 13 also acquires time information, which is the current time, from a clock (not shown). The processing unit 13 then composes sensor information having the time information. The sensor information, for example, includes received information (for example, temperature, humidity, and information indicating whether water has been detected) and the time information. The sensor information also includes information (for example, the number of cracks) obtained from received information (for example, an image) and the time information. Next, the processing unit 13 stores the received sensor information or the composed sensor information in the sensor value storage unit 111. The sensor information here includes a "house identifier," a "type identifier," an "installation location identifier," a "sensor value," and "time information."

[0124] It is assumed that the sensor information management table shown in FIG. 5 is stored in the sensor value storage unit 111 through the above processing.

[0125] It is also assumed that the condition storage unit 112 stores the poor condition management table shown in FIG. 6. The poor condition management table is a table that manages one or more records each having an "ID," "perspective identifier," "type," and "poor condition." The "ID" is information that identifies the record. The "perspective identifier" is information that identifies the viewpoint. The "perspective identifier" here is the "installation identifier." The "type" is information that corresponds to the sensor type identifier. The "poor condition" is a condition for determining that the situation is not good. Note that in FIG. 6, if sensor values ​​that can determine all poor conditions cannot be obtained from each viewpoint, the determination unit 131 determines that the sub-evaluation value corresponding to that viewpoint cannot be obtained.

[0126] Furthermore, it is assumed that the sensor value receiving unit 122 receives the earthquake resistance class "2" in combination with the house identifier "H001." Then, it is assumed that the processing unit 13 stores the earthquake resistance class "2" in combination with the house identifier "H001" in the sensor value storage unit 111. The earthquake resistance class "2" is information on earthquake resistance strength.

[0127] In this situation, it is assumed that the user has given the home evaluation device 1 a "start instruction (home identifier=H001)".

[0128] Next, the reception unit 12 of the home evaluation device 1 receives the start instruction. Next, the processing unit 13 performs the home evaluation process as follows.

[0129] First, the evaluation unit 132 acquires the house identifier "H001" included in the start instruction. Next, the evaluation unit 132 refers to the poor condition management table of FIG. 6 and acquires, for each installation location identifier (outdoor 1, outdoor 2), sensor information paired with the house identifier "H001" and including the number of cracks (sensor value) used in the poor conditions corresponding to the viewpoint "outdoor" from the sensor information management table of FIG. 5. Then, the evaluation unit 132 acquires the number of hours "t1" from the start time (e.g., "2020 / 11 / 6 12:32") when the poor condition "number of cracks >= 2" is satisfied to the time information (e.g., "2021 / 8 / 5 11:47" or the current date and time) included in the sensor information that satisfies the poor condition. Then, the evaluation unit 132 acquires the poor time "t1" paired with "ID=1, type=number of cracks" and temporarily stores it in a buffer (not shown).

[0130] The evaluation unit 132 also acquires the earthquake resistance class "2" paired with the house identifier "H001" and determines that the earthquake resistance class "2" does not satisfy the poor condition "earthquake resistance class <= 1" paired with "ID=1, type=earthquake resistance strength." In other words, the evaluation unit 132 acquires the poor time "0" paired with "ID=1, type=earthquake resistance strength" and temporarily stores it in a buffer (not shown). It is assumed that for the house identified by "house identifier=H001," a value of earthquake resistance class "2" is stored in the sensor value storage unit 111 paired with one or more pieces of hourly information.

[0131] The evaluation unit 132 also acquires, for each piece of sensor information, a sensor value and time information paired with the house identifier "H001", the viewpoint identifier "attic", and the type "temperature". Then, the evaluation unit 132 acquires the time "t2" during which the poor condition "temperature >= 45 degrees" was met, using two or more pairs (time-series information) of the acquired sensor value and time information. Next, the evaluation unit 132 acquires the poor time "t2" paired with "ID=2, type=temperature" and temporarily stores it in a buffer (not shown).

[0132] Furthermore, the evaluation unit 132 acquires, for each piece of sensor information, a sensor value and time information paired with the house identifier "H001", the viewpoint identifier "underfloor", and the type "temperature". Then, the evaluation unit 132 acquires the time "t3" during which the poor condition "temperature >= 40 degrees" was satisfied, using two or more pairs (time-series information) of the acquired sensor value and time information. Next, the evaluation unit 132 acquires the poor time "t3" paired with "ID=3, type=temperature" and temporarily stores it in a buffer (not shown).

[0133] Furthermore, the evaluation unit 132 acquires, for each piece of sensor information, a sensor value and time information paired with the house identifier "H001", the viewpoint identifier "underfloor", and the type "humidity". Then, the evaluation unit 132 acquires the time "t4" during which the poor condition "temperature >= 80%" was satisfied, using two or more pairs (time-series information) of the acquired sensor value and time information. Next, the evaluation unit 132 acquires the poor time "t4" in combination with "ID=3, type=humidity" and temporarily stores it in a buffer (not shown).

[0134] The evaluation unit 132 performs the above process for other poor conditions as well, and the evaluation source information management table shown in FIG. 7 is temporarily stored in a buffer (not shown).

[0135] Next, the determining unit 131 determines that all of the poor times have been acquired for each viewpoint (location).

[0136] Next, the evaluation unit 132 refers to the evaluation source information management table (FIG. 7) and acquires the sub-evaluation value for each viewpoint as follows.

[0137] For example, the evaluation unit 132 calculates the sub-evaluation value of the viewpoint "outdoors" corresponding to "ID=1" by "sub-evaluation value (e1) = f1(t1,0)". Note that the arithmetic expression "f1" is a decreasing function that takes two parameters as arguments. Furthermore, it is assumed that the evaluation unit 132 calculates, for example, "evaluation value (e1) = 83".

[0138] Furthermore, the evaluation unit 132 acquires a sub-evaluation value for each viewpoint with reference to FIG. 7. For example, the evaluation unit 132 calculates the sub-evaluation value of the viewpoint "Attic" corresponding to "ID=2" by "sub-evaluation value (e2)=f1(t2)". Note that the arithmetic expression "f2" is a decreasing function with "t2" as a parameter. Furthermore, it is assumed that the evaluation unit 132 calculates, for example, "evaluation value (e2)=54".

[0139] Furthermore, the evaluation unit 132 refers to FIG. 7 and acquires a sub-evaluation value for each viewpoint. For example, the evaluation unit 132 calculates the sub-evaluation value of the viewpoint "underfloor" corresponding to "ID=3" by "sub-evaluation value (e3)=f3(t3, t4)". Note that the arithmetic expression "f3" is a decreasing function with "t3" and "t4" as parameters. Furthermore, it is assumed that the evaluation unit 132 calculates, for example, "evaluation value (e3)=65".

[0140] It is also assumed that the evaluation unit 132 subsequently calculates sub-evaluation values ​​for other viewpoints in the same manner.

[0141] Furthermore, the evaluation unit 132 calculates the overall evaluation value (E) of the house identified by the house identifier "H001" using "overall evaluation value (E) = F(e1, e2, e3, e4,...)". The arithmetic formula (F) is an increasing function with e1, e2, e3, e4, etc. as parameters. The arithmetic formula (F) is, for example, "overall evaluation value (E) = a1 x e1 + a2 x e2 + a3 x e3 + a4 x e4 +...". The arithmetic formula (F) is, for example, a weighted average of e1, e2, e3, e4, etc. Furthermore, it is assumed that the evaluation unit 132 calculates, for example, "overall evaluation value (E) = 68".

[0142] Next, the evaluation output unit 142 outputs the evaluation value acquired by the evaluation unit 132. An example of such output is shown in FIG.

[0143] As described above, according to this embodiment, it is possible to appropriately evaluate a house using two or more time-series sensor values.

[0144] Furthermore, according to this embodiment, it is possible to appropriately evaluate a house from two or more perspectives using two or more time-series sensor values.

[0145] Furthermore, according to this embodiment, evaluation can be performed for each location of a house using two or more time-series sensor values.

[0146] In this embodiment, the home evaluation device 1 may communicate with a terminal device (not shown) and function as a server that transmits evaluation values, etc. to the terminal device. The home evaluation device 1 may also be a stand-alone device.

[0147] Furthermore, in this embodiment, the evaluation unit 132 may perform a comprehensive evaluation of two or more homes. The two or more homes may be homes adjacent to one home. The two or more homes may be homes in an entire town. When performing a comprehensive evaluation, it is preferable to use a representative value of the evaluation value of each home. The representative value of the evaluation value may be, for example, the average, highest, or median of the evaluation values. Furthermore, when a sensor is missing for one home, the evaluation unit 132 may use a sensor value obtained from an adjacent home when obtaining the evaluation value of the home. Evaluating two or more homes has the effect of obtaining a higher evaluation for the home or an evaluation for the entire town. Furthermore, by obtaining appraisal values ​​for two or more homes, it is possible to predict the appraisal value at the next appraisal time (for example, one year from now). Furthermore, the representative value of the evaluation value of a house or the evaluation value of an entire town or region can be used to estimate the impact of a disaster such as heavy rain, heavy snow, or landslide on a house, town, or region. Furthermore, the evaluation value of a house or a representative value of the evaluation value of an entire town or region can be used, for example, as information to be included on a hazard map. Furthermore, the representative evaluation values ​​for the entire city or region are expected to be used as information sensors for the entire city or region, and can be used for insurance and benefit negotiations and rapid disaster response activities. The processing in this embodiment may also be implemented by software. This software may be distributed by software download or the like. This software may also be recorded on a recording medium such as a CD-ROM and distributed. This also applies to other embodiments in this specification. The software that implements the home evaluation device 1 in this embodiment is the following program. In other words, this program causes a computer that can access a sensor value storage unit in which two or more time-series sensor values ​​acquired by two or more sensors present within a home or in the surrounding environment of the home are stored for each sensor to function as an evaluation unit that acquires an evaluation value for the home using the two or more time-series sensor values ​​from each of the two or more sensors, and an evaluation output unit that outputs the evaluation value.

[0148] 9 shows the appearance of a computer that executes the programs described herein to realize the home evaluation device 1 and the like according to the various embodiments described above. The above-described embodiments can be realized by computer hardware and a computer program executed thereon. FIG. 9 is an overview of this computer system 300, and FIG. 10 is a block diagram of the system 300.

[0149] In FIG. 9, computer system 300 includes computer 301 including a CD-ROM drive, keyboard 302, mouse 303, and monitor 304.

[0150] 10, computer 301 includes, in addition to CD-ROM drive 3012, MPU 3013, bus 3014 connected to CD-ROM drive 3012 etc., ROM 3015 for storing programs such as a boot-up program, RAM 3016 connected to MPU 3013 for temporarily storing instructions of application programs and providing temporary storage space, and hard disk 3017 for storing application programs, system programs, and data. Although not shown here, computer 301 may further include a network card for providing connection to a LAN.

[0151] A program that causes the computer system 300 to execute the functions of the home appraisal device 1 and the like of the above-described embodiment may be stored on a CD-ROM 3101, inserted into the CD-ROM drive 3012, and then transferred to the hard disk 3017. Alternatively, the program may be transmitted to the computer 301 via a network (not shown) and stored on the hard disk 3017. The program is loaded into the RAM 3016 when executed. The program may also be loaded directly from the CD-ROM 3101 or the network.

[0152] The program does not necessarily include an operating system (OS) or a third-party program that causes the computer 301 to execute the functions of the home evaluation device 1 of the above-described embodiment. The program only needs to include instructions that call appropriate functions (modules) in a controlled manner to achieve the desired results. How the computer system 300 operates is well known, and a detailed description thereof will be omitted.

[0153] In addition, in the above program, the steps of transmitting information and receiving information do not include processing performed by hardware, such as processing performed by a modem or interface card in the transmission step (processing that can only be performed by hardware).

[0154] The computer that executes the program may be a single computer or a plurality of computers, that is, it may perform centralized processing or distributed processing.

[0155] Furthermore, in each of the above embodiments, it goes without saying that two or more communication means present in one device may be physically realized by one medium.

[0156] Furthermore, in each of the above embodiments, each process may be realized by centralized processing in a single device, or may be realized by distributed processing in a plurality of devices.

[0157] The present invention is not limited to the above-described embodiment, and various modifications are possible, and it goes without saying that these modifications are also included within the scope of the present invention. [Industrial Applicability]

[0158] As described above, the home appraisal device 1 according to the present invention has the effect of being able to appropriately appraise a home using two or more time-series sensor values, and is useful as a server for appraising homes, etc. [Explanation of symbols]

[0159] A. Housing Evaluation System 1. Housing evaluation device 2 sensors 11 Storage area 12 Reception 13 Processing section 14 Output section 111 Sensor value storage unit 112 Condition storage section 121 Sensor value receiver 122 Sensor value reception unit 131 Judgment Department 132 Evaluation Department 141 Judgment result output unit 142 Evaluation output unit

Claims

1. a sensor value storage unit that stores, for each sensor, two or more time-series sensor values ​​acquired by two or more sensors present in the home or the surrounding environment of the home; an evaluation unit that acquires a comprehensive evaluation value of the one house using two or more time-series sensor values ​​of the two or more sensors; an evaluation output unit that outputs the comprehensive evaluation value; The evaluation unit For each of two or more viewpoints, one or more sensor values ​​are used to obtain a sub-evaluation value, and the two or more sub-evaluation values ​​are used to obtain the overall evaluation value, and the higher the sub-evaluation value, the higher the overall evaluation value obtained, and the greater the number of sub-evaluation values, the higher the overall evaluation value obtained compared to when the number of sub-evaluation values ​​is small; The evaluation unit For each of two or more viewpoints, one or more sensor values ​​are used to obtain a sub-evaluation value by one or more of the following methods (1) to (5): (1) The evaluation unit determines whether the one or more sensor values ​​satisfy one or more poor conditions, which are conditions for determining that the sensor value is poor, and acquires a sub-evaluation value that is low enough to satisfy the poor conditions. (2) The evaluation unit acquires period information regarding a period during which each of two or more time-series sensor values ​​satisfies an adverse condition, and acquires a lower sub-evaluation value as the period information indicates a longer period. (3) The evaluation unit substitutes one or more parameters acquired using the one or more sensor values ​​into an arithmetic expression stored in a storage unit, executes the arithmetic expression, and acquires a sub-evaluation value. (4) The evaluation unit performs a machine learning learning process using two or more pieces of teacher data in which one or more parameters acquired using one or more sensor values ​​are used as explanatory variables and a sub-evaluation value is used as a target variable, provides the acquired learning device and the one or more parameters acquired using the one or more sensor values ​​to a module that performs a machine learning prediction process, executes the module, and acquires a sub-evaluation value. (5) The evaluation unit acquires a sub-evaluation value paired with a vector that is most similar to a vector having elements of two or more parameters acquired using one or more sensor values ​​from a correspondence table having two or more pieces of correspondence information including a vector having elements of two or more parameters acquired using one or more sensor values ​​and sub-evaluation values. Home evaluation equipment.

2. a sensor value storage unit that stores, for each sensor, two or more time-series sensor values ​​acquired by two or more sensors present in the home or the surrounding environment of the home; an evaluation unit that acquires an evaluation value of a house using two or more time-series sensor values ​​of the two or more sensors; an evaluation output unit that outputs the evaluation value; The evaluation unit When a sensor for the one house is missing, a sensor value acquired at a house adjacent to the one house is acquired using the sensor value of the missing sensor to acquire an evaluation value for the one house; The evaluation unit Using one or more sensor values, an evaluation value is obtained by one or more of the following methods (1) to (5): (1) The evaluation unit determines whether the one or more sensor values ​​satisfy one or more poor conditions, which are conditions for determining that the condition is poor, and acquires a lower evaluation value as the poor conditions are satisfied. (2) The evaluation unit acquires period information regarding a period during which each of two or more time-series sensor values ​​satisfies an adverse condition, and acquires a lower evaluation value as the period information indicates a longer period. (3) The evaluation unit substitutes one or more parameters acquired using the one or more sensor values ​​into an arithmetic expression stored in a storage unit, executes the arithmetic expression, and acquires an evaluation value. (4) The evaluation unit performs a machine learning learning process using two or more pieces of teacher data in which two or more parameters acquired using one or more sensor values ​​are used as explanatory variables and an evaluation value is used as a target variable, provides the acquired learning device and the two or more parameters acquired using the one or more sensor values ​​to a module that performs a machine learning prediction process, executes the module, and acquires an evaluation value. (5) The evaluation unit acquires an evaluation value paired with a vector that is most similar to a vector whose elements are two or more parameters acquired using one or more sensor values, from a correspondence table having two or more pieces of correspondence information including a vector whose elements are two or more parameters acquired using one or more sensor values ​​and an evaluation value. Home evaluation equipment.

3. a sensor value receiving unit that receives a sensor value associated with the installation location identifier from each of the two or more sensors; the two or more sensor values ​​in the sensor value storage unit are sensor values ​​received by the sensor value receiving unit, The evaluation unit The home evaluation device according to claim 1 , wherein the sub-evaluation value is obtained for each of two or more locations using the installation location identifier.

4. the sensor value is associated with a sensor type identifier that identifies the type of sensor; The evaluation unit 2. The home appraisal device according to claim 1, wherein the sub-appraisal value is obtained for each of two or more sensor type identifiers using two or more sensor values ​​corresponding to the sensor type identifier.

5. an evaluable condition is stored for each of the two or more viewpoints; a determination unit that determines whether or not the two or more time-series sensor values ​​satisfy the condition for each of the two or more viewpoints; The evaluation unit The housing appraisal device according to claim 1 , wherein the sub-evaluation value is acquired only from the viewpoint that the judging unit judges to satisfy the condition.

6. A home appraisal method comprising all of the processes performed by the home appraisal device according to any one of claims 1 to 5.

7. Computer, A program for causing the home evaluation device according to any one of claims 1 to 5 to function as the home evaluation device.

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