JP7123601B2 - Value evaluation system and property search system - Google Patents

Description

The present invention relates to a value evaluation system that evaluates the values of building users, and a property search system using the system.

2. Description of the Related Art Conventionally, techniques of search systems used when searching for real estate properties and the like are publicly known. For example, it is as described in Patent Document 1.

The search system described in Patent Literature 1 can extract and present properties that satisfy the conditions when a user (a person searching for real estate properties) inputs a search condition such as a distance to a desired facility. . In addition, in the search system, it is possible to display concentric circles by time around the property to be searched by means of transportation such as walking or car, and also to display various facilities that are search conditions. The overview of the property can be visually understood.

In a search system such as that described in Patent Document 1, the user must determine the conditions (search conditions) required for a new property based on his/her sense of values. However, in general, few people have a concrete understanding of their own sense of values, and the task of determining specific search conditions has been cumbersome.

Japanese Patent Application Laid-Open No. 2005-292933

The present invention has been made in view of the above circumstances, and the problem to be solved is a value evaluation system capable of evaluating the values of building users, and a property search using the same. It is to provide a system.

The problems to be solved by the present invention are as described above, and the means for solving the problems will now be described.

That is, in claim 1, there is provided in a building a detection unit for detecting the content of user activity in the building, and based on the content of activity of the user detected by the detection unit, the value of the user is determined. and an evaluation unit that evaluates the user's view, the detection unit is provided in a plurality of buildings, and the evaluation unit evaluates the values of the users of the plurality of buildings in evaluating the values of the users. As the information to be shown, users of the plurality of buildings are classified into a plurality of groups based on numerical values obtained by converting the activity contents of the users detected by the detection unit .

In claim 2, the criteria for evaluating the values include at least one of strictness to rules and/or manners, sensitivity to things, or deep involvement in things .

In claim 3, a detection unit provided in a building for detecting the content of user activity in the building; and an evaluation unit that evaluates, and at least one of strictness to rules and/or manners, sensitivity to things, or depth of involvement in things is included as the evaluation criteria for the values. be.

In claim 4, the evaluation unit evaluates the values based on a plurality of evaluation criteria .

In claim 5, the detection unit includes at least one of a sound detection unit that detects sound, an imaging unit that acquires video, and a lighting detection unit that detects whether or not lighting is on.

In claim 6, the apparatus further comprises an output unit for outputting a result of processing by the evaluation unit.

In claim 7, the value evaluation system according to any one of claims 1 to 6, and recommended conditions for a property suitable for the user based on the evaluation result by the value evaluation system and a property condition determination unit that determines

As effects of the present invention, the following effects are obtained.

In claim 1, the values of building users can be evaluated. In addition, it is possible to facilitate searching for buildings of users who have similar values.

In claim 2, it is possible to objectively evaluate at least one of strictness to rules, etc., sensitivity to things, and depth of involvement in things.

In claim 3, it is possible to evaluate the values of building users. In addition, at least one of strictness to rules and the like, sensitivity to matters, and degree of involvement in matters can be objectively evaluated.

In claim 4, it is possible to subdivide values and evaluate them.

In claim 5, the user's sense of value can be evaluated based on at least one of sound, video, and presence/absence of lighting in the building.

In claim 6, the processing result can be notified.

In claim 7, it is possible to make it easier to search for buildings of users who have similar values or are compatible with each other.

The schematic diagram which showed a part of property information management system. The schematic diagram which showed the whole property information management system. The figure which showed an example of the evaluation axis of a sense of value. The figure which showed the content of a living-life values analysis process. A diagram showing specific examples of values and groups. The figure which showed the content of the optimal property proposal process. The figure which showed an example of the information extracted from contract information DB. The figure which showed an example of input information and various conditions considered to be optimal. The figure which showed an example of the property|object extracted based on condition suitability. The figure which showed the example which put together the property|object in one table|surface, and showed it.

A property information management system 1 according to an embodiment of the present invention will be described below with reference to FIGS. 1 and 2. FIG.

The property information management system 1 manages information regarding a plurality of properties. The property information management system 1 classifies the residents living in the house H based on the details of their daily activities. Also, the property information management system 1 can use the classification result or the like to present properties suitable for a person who is considering buying a house.

Property information management system 1 mainly includes sensors 10 , housing information management section 20 , housing display section 30 , property information management section 40 , input section 50 and property display section 60 .

The sensors 10 shown in FIG. 1 are provided in the house H and detect the contents of activities related to the daily life of the residents in the house H. As shown in FIG. The sensors 10 include a lighting sensor 11, a human sensor 12, an air conditioner sensor 13, a body motion sensor 14, a camera 15, and a microphone 16, for example.

The lighting sensor 11 detects whether the lighting in the house H is on. As the lighting sensor 11, specifically, an illuminance sensor that detects the illuminance in the house H, a lighting sensor that detects the lighting state of the lighting in the house H (on/off of the lighting switch), or the like can be used. . For example, it is possible to detect whether or not the lighting is on by considering either or both of the detection values of the illuminance sensor and the lighting sensor.

The human sensor 12 detects the presence of a person (resident) in the house H. As shown in FIG. The human sensor 12 can detect the presence of a resident using, for example, infrared rays, ultrasonic waves, or the like.

The air conditioner sensor 13 detects whether the air conditioner provided in the house H is operating. The air conditioner sensor 13 can detect whether or not the air conditioner is operating, for example, by detecting the power consumed by the air conditioner.

The body movement sensor 14 detects body movement of the resident in the house H (particularly body movement during sleep). The body motion sensor 14 can detect that the body of the resident lying on the bedding (bed etc.) has moved. The body motion sensor 14 can detect the body motion of the resident, for example, by using infrared rays, ultrasonic waves, or the like, or by detecting pressure applied to bedding.

The camera 15 captures an image of the inside of the house H. As shown in FIG. The cameras 15 are installed at multiple locations within the house H. As shown in FIG. For example, the camera 15 is installed at a place where the expression of a person (resident) in the house H can be photographed, a place where a table top can be photographed, a visitor can be photographed, or the like.

The microphone 16 detects sounds inside the house H. FIG. The microphones 16 are installed at multiple locations in the house H. As shown in FIG. The microphone 16 can detect, for example, sounds inside the house H and sounds heard from outside the house H (external sounds).

The housing information management unit 20 manages information regarding the housing H. FIG. The housing information management unit 20 includes a storage unit such as RAM and ROM, an arithmetic processing unit such as CPU, an input/output unit such as I/O, and the like. The housing information management unit 20 can perform predetermined arithmetic processing, storage processing, and the like. The housing information management unit 20 stores in advance various information, programs, and the like used when managing information about the housing H. FIG. The housing information management unit 20 is connected to the sensors 10 (the lighting sensor 11 and the like) and can receive detection signals and the like from the sensors 10 .

The housing information management unit 20 also includes a living activity DB 21 and the like.

The living activity DB 21 is a database that stores activity details related to the daily life of the residents in the house H. FIG. The living behavior DB 21 can store the detection results of the sensors 10 and the evaluation values of the evaluation axes calculated based on the detection results.

The housing display unit 30 can display various types of information. The house display unit 30 is provided in the house H. As shown in FIG. As the housing display unit 30, for example, a liquid crystal monitor, a touch panel, or the like can be used.

In addition, as shown in FIG. 2, the sensors 10, the housing information management unit 20, and the housing display unit 30 are provided in each of the plurality of houses H. As shown in FIG.

The property information management unit 40 manages information regarding a plurality of houses H. FIG. The property information management unit 40 includes a storage unit such as RAM and ROM, an arithmetic processing unit such as CPU, an input/output unit such as I/O, and the like. The property information management unit 40 can perform predetermined arithmetic processing, storage processing, and the like. The property information management unit 40 stores in advance various information, programs, and the like used when managing information about a plurality of houses H. FIG. The property information management section 40 is connected to the housing information management section 20 of each housing H, and can exchange various information with the housing information management section 20 .

The property information management unit 40 also includes a value DB 42, a contract information DB 43, a property information DB 44, and the like.

The values DB 42 is a database that stores the values of the residents of the house H analyzed by the property information management unit 40 .

The contract information DB 43 is a database that stores information on past and current contracts of real estate companies.

The property information DB 44 is a database that stores information about a plurality of properties (properties to be sold).

The input section 50 is for inputting various types of information to the property information management section 40 . As the input unit 50, for example, a keyboard, a touch panel, or the like can be used.

The property display section 60 can display various types of information. As the object display unit 60, for example, a liquid crystal monitor, a touch panel, or the like can be used.

The property information management unit 40, the input unit 50, and the property display unit 60 are provided in a real estate company or the like that conducts the buying and selling business of each house H (real estate).

The above-described sensors 10 and the like are installed in a plurality of residences H that permit utilization of the property information management system 1 . Further, the detection results from the sensors 10 are managed by a real estate company and used for buying and selling each house H (real estate). That is, the property information management system 1 can analyze information about the resident of each house H and present (propose) various information to the resident based on the analysis results.

A plurality of processes by the property information management system 1 will be described below in order. In the present embodiment, two types of processing of the property information management system 1, ie, "lifestyle values analysis processing" and "optimal property proposal processing" will be described.

First, the housing values analysis processing by the property information management system 1 will be described. The living life value analysis process is a process of evaluating (estimating) the resident's sense of values (in particular, the values related to daily life in the house H) based on the detection results of the sensors 10 of the house H. FIG. A specific description will be given below.

Various items are conceivable as criteria (evaluation axes) for evaluating the sense of values of the residents of the house H. FIG. In this embodiment, as an example, as shown in FIG. 3, three types of evaluation axes are used. That is, in this embodiment, based on three types of evaluation axes of "strictness to rules and manners", "sensitivity to perceive things" and "strength of involvement in things", residents' values are evaluated. shall be evaluated.

"Strict adherence to rules and manners" is an item that evaluates the degree of awareness of the need to follow rules and manners. In this embodiment, "strictness to rules and manners" is further classified into "social norms," "schedules," and "neighborhood consideration rules."

"Social norms" is an item that evaluates the level of awareness of trying to observe rules and manners that are socially required to be observed. In this embodiment, the "social norm" is evaluated based on the measured values of "lighting time during absence" and "air conditioner operating time during absence". That is, from the viewpoint of environmental protection, it is required to turn off the lights or turn off the air conditioner when the resident is not in the house H. Therefore, in the present embodiment, it can be determined that the shorter the "illumination time during absence" or the like, the higher the evaluation of the "social norm" (trying to follow the rules).

Whether or not the resident is absent from the house H can be determined from the detection result of the human sensor 12 . Further, it can be determined from the detection result of the lighting sensor 11 whether or not the lighting is turned on. Also, whether the air conditioner is operating can be determined from the detection result of the air conditioner sensor 13 .

"Schedule" is an item that evaluates the degree of awareness of keeping a predetermined schedule. In this embodiment, the "schedule" is evaluated based on the "standard deviation of wake-up times". That is, it can be determined that the smaller the standard deviation (dispersion) of the wake-up times, the higher the evaluation of "schedule" (trying to keep to the schedule).

It should be noted that whether or not the resident has woken up can be determined from the detection result of the body movement sensor 14 .

"Neighborhood Consideration Rule" is an item that evaluates the degree of awareness of considering other houses in the neighborhood. In this embodiment, it is assumed that the "neighborhood consideration rule" is evaluated based on the "maximum amplitude of generated sound in the middle of the night." That is, the smaller the maximum amplitude (maximum volume) of the sound generated in the house H in the late-night hours, the higher the evaluation of the "neighborhood consideration rule" (the other houses in the neighborhood are considered). be able to.

Note that the maximum amplitude (maximum volume) of sound can be determined from the detection result of the microphone 16 .

“Sensitivity to perceive things” is an item that evaluates sensitivity to events that occur around us (such as the occurrence of sounds and changes in the environment). In this embodiment, "sensitivity to perceive things" is further classified into "sound" and "dirt, disturbance".

“Sound” is an item for evaluating sensitivity to sound. In this embodiment, the "sound" is evaluated based on the measured values of "environmental sound before body movement during sleep" and "external sound before uncomfortable expression". Specifically, when the body movement (movement) of the resident occurs during sleep, the sensitivity to sound can be determined according to the volume of the environmental sound immediately before the body movement. Further, when the resident makes an unpleasant expression, the sensitivity to the sound can be determined according to the loudness of the outside sound immediately before making the expression.

It should be noted that the magnitude of the environmental sound and the outside sound can be determined from the detection result of the microphone 16 . In addition, the uncomfortable facial expression of the resident can be determined from the photographed result (photographed image) of the camera 15 .

“Dirt, disorder” is an item for evaluating sensitivity to dirt and disorder in the house H. FIG. In the present embodiment, the "dirt and disturbance" is evaluated based on the measured values of "horizontal surface exposed area" and "horizontal surface color change". In addition, the "horizontal surface exposed area" means the area where the horizontal surface such as the floor or the top of the table is exposed. From the area, it is possible to determine how many objects are placed (whether scattered) on the floor, table, or the like. The term "horizontal surface color change" means the degree of color change on a horizontal surface such as a floor or a table top. From the change, it is possible to determine how dirty the floor, table top, etc. are.

It should be noted that changes in the exposed area and color on the floor, table, etc. can be determined from the imaging result (photographed video) of the camera 15 .

The “deepness of relationship to things” is an item for evaluating the degree (depth) of the relationship with the surroundings. In this embodiment, it is assumed that the item is evaluated with particular focus on “human relations”. Also, in this embodiment, the "human relations" are evaluated based on the measured values of "number of visitors other than family members, frequency, time" and "conversation time, frequency". Specifically, it can be determined that the higher (longer) the number, frequency, and duration of visits by non-family members, the closer (deeper) the relationship with the person. In addition, it can be determined that the more (longer) the conversation time and frequency, the deeper (deeper) the relationship with the person.

It should be noted that the visit of a person other than family members can be determined from the photographed result (photographed video) of the camera 15 . Moreover, the presence or absence of conversation can be determined from the detection result of the microphone 16 .

In the housing values analysis processing by the property information management system 1, the values of the residents are analyzed based on the evaluation axis described above, and the values of the residents of the multiple houses H are classified into multiple groups. can.

In the following, assuming that a resident of a certain house H is considering purchasing another house H, the property information management system 1 will explain the living values analysis process. In the following, the current house H of the resident (buyer) who is considering purchasing the house H is house H1, the house H of the resident who is a potential seller is house H2, and the house H around the buyer or seller is house H1. respectively referred to as H3 (see FIG. 2).

In the housing life values analysis process, the housing information management unit 20 of the existing user's house H first detects the activity details in the existing user's house H (house H2 and house H3) (step S11 in FIG. 4). In addition, in this embodiment, the existing user means the resident of the house H2 and the resident of the surrounding house H3 which is a seller candidate. The housing information management unit 20 uses the sensors 10 to periodically (or constantly) detect the details of activities in the housing H2 and the housing H3.

Further, the house information management unit 20 of the new user's house H detects the contents of activities in the new user's house H (house H1) (step S12 in FIG. 4). In addition, in this embodiment, a new user means a resident who newly considers purchasing the house H (that is, becomes a buyer). The housing information management unit 20 uses the sensors 10 to detect the details of activities in the housing H1. In addition, the detection of the activity content in the house H1 may be started after the purchaser starts considering the purchase of the house H, or may be performed periodically (or always) in advance.

Further, the housing information management unit 20 stores the detection results in steps S11 and S12 in their own living behavior DBs 21 (step S13).

Also, the housing information management unit 20 and the property information management unit 40 analyze the values of each resident based on the information stored in the living behavior DB 21 (step S14). Specifically, the housing information management unit 20 converts the information stored in the living behavior DB 21 into an appropriate numerical value so that it can be easily used. For example, the housing information management unit 20 renders dimensionless the measured value of the "lighting time during absence" for evaluating the "social norm" in FIG. Also, the measured values may be normalized to facilitate comparison with other measured values. For example, each measurement can be scored numerically between 0 and 5 points. The numerical values obtained in this manner can be used as information indicating the sense of values of the residents of each house H.

Furthermore, the information on the results of the analysis by the housing information management section 20 of each housing H (each numerical value described above, etc.) is appropriately stored in the housing information management section 20 of each housing H, and provided to the real estate company or the like. The property information management unit 40 receives the property information.

The property information management unit 40 groups the residents of each house H based on the information from the housing information management unit 20, that is, the numerical values (sense of values) obtained by the conversion (step S14). Specifically, the property information management unit 40 classifies residents with similar values so that they belong to the same group. The grouping can be performed by any method. For example, a plurality of residents can be classified into any number of groups by performing cluster analysis.

The property information management unit 40 stores the information on the sense of values of each resident analyzed in step S14 (values quantified and results of grouping) in the sense of values DB 42 (step S15). At this time, the property information management unit 40 can not only store the analysis result of step S14, but also calculate and store the difference from the previous analysis result (step S16). For example, when the analysis of step S14 is performed periodically, the difference between the previous analysis result and the current analysis result is calculated, and the difference is stored in the values DB42. In this manner, by storing not only the analysis result of step S14 as it is but also the difference, it is possible to accumulate information on how each resident's sense of values has changed.

The property information management unit 40 outputs the analysis result of step S14 as necessary (step S17). Specifically, the property information management unit 40 causes the property display unit 60 to display values quantified in step S14, grouping results, differences calculated in step S16, and the like.

FIG. 5 shows an example of display in step S17. FIG. 5 shows an example of the values of a person (Mr. A) who is considering purchasing another house H (house H2) and the groups into which Mr. A is classified. In Fig. 5, each value of three evaluation axes of values, "strictness to rules and manners," "sensitivity to perceive things," and "deepness of involvement in things," is shown in a radar chart. ing. In addition to the radar chart, the group to which Mr. A is classified (group 3 in this example) is also shown.

A hatched portion in the figure indicates Mr. A's evaluation value (sense of value). In addition, the range surrounded by the dashed line in the figure indicates the range in which the evaluation values (sense of values) of people who belong to the same group as Mr. A are distributed.

As described above, the property information management system 1 according to the present embodiment can detect the activities of the residents of each house H regarding their daily lives, and evaluate the values of the residents based on the detection results. . In particular, in the property information management system 1 of this embodiment, it is possible to objectively evaluate values by evaluating values based on unconscious daily activities rather than information consciously input by residents. becomes.

In addition, the result of grouping Mr. A who is considering purchasing the house H (the buyer) can be used as a reference when selecting the house H to purchase. That is, the residents of the house H classified into the same group (group 3 in this example) as Mr. A, who is the buyer, are considered to have values similar to Mr. A's. From this, it can be said that there is a high possibility that house H in the same group and its surrounding environment match Mr. A's values (preferences). Therefore, Mr. A can efficiently select the house H2 by preferentially considering the house H2 classified into the same group as a purchase candidate among the houses H2.

In this embodiment, the analysis results are displayed on the property display unit 60 provided in a real estate company or the like. It is possible. Thereby, the buyer can check the analysis result from his/her home or the like via the Internet without going to the real estate company or the like.

Also, the evaluation axis of values shown in FIG. 5 and the like is an example, and various other items can be used as the evaluation axis. For example, it is also possible to use "how to perceive things" and "active activity" as evaluation axes.

“Perception of things” is an item that evaluates how residents tend to perceive things (negative or positive). For example, it is possible to evaluate the "how to perceive things" based on the detection results of conversation (words used in conversation, content of conversation, sighs, etc.), posture, and the like.

In addition, "activeness" is an item for evaluating the activeness of a resident's activity. For example, the type, content and browsing frequency of browsing media (books, magazines, movies, etc.), the number of times doors (entrance doors and indoor doors) are opened and closed, and the number of steps and walking speed indoors (and/or outdoors) Based on this, the "activeness of activity" can be evaluated.

In addition to the sensors 10 described above, appropriate sensors or the like necessary for evaluation based on the evaluation axis can be provided in the house H according to the evaluation axis. For example, the house H may be provided with a sensor that detects the opening and closing of the door, a sensor that detects the number of steps taken by the resident, and the like.

As described above, the property information management system 1 (value evaluation system) according to the present embodiment is
A detection unit (sensors 10) provided in a house H (building) and detecting the activity content of a resident (user) in the house H;
an evaluation unit (property information management unit 40, step S14) that evaluates the resident's sense of values based on the activity content of the resident detected by the detection unit;
is provided.
By configuring in this way, the values of the residents of the house H can be evaluated. Especially in this embodiment, it is possible to evaluate objective values (values that do not depend on the resident's subjectivity) based on the activity content of the resident.

Further, the detection unit
provided in a plurality of houses H,
The evaluation unit
Based on the values of the residents of the plurality of houses H, the residents of the plurality of houses H are classified into a plurality of groups (step S14).
By configuring in this way, it is possible to facilitate searching for houses H of residents who have similar values. This makes it easier for the user to purchase a house H suitable for his sense of values.

In addition, the evaluation unit
The values are evaluated based on a plurality of evaluation criteria.
By configuring in this way, values can be subdivided and evaluated.

In addition, the property information management system 1
As the evaluation criteria for the values,
At least one of strictness to rules and/or manners, sensitivity to things, or deep involvement in things is included.
By configuring in this way, at least one of strictness to rules and the like, sensitivity to matters, and degree of involvement in matters can be objectively evaluated. In particular, in this embodiment, it becomes easier to find a house H owned by a resident who has similar values in at least one of strictness to rules, sensitivity to things, or deep involvement in things.

Further, the detection unit
At least one of a sound detection unit (microphone 16) that detects sound, an imaging unit (camera 15) that acquires video, and a lighting detection unit (light sensor 11) that detects whether or not lighting is on is included. It is a thing.
By configuring in this way, it is possible to evaluate the sense of value of the resident based on at least one of sound, video, and presence/absence of lighting in the house H.

In addition, the property information management system 1
It further comprises an output unit (house display unit 30 and property display unit 60) for outputting the processing result by the evaluation unit.
By configuring in this way, the processing result can be notified.

Next, optimum property proposal processing by the property information management system 1 will be described. The optimum property proposal process is a process for proposing a suitable property to a person who is considering purchasing a house (hereinafter referred to as a property searcher). In the optimum property proposal process, a model for predicting conditions suitable for a property searcher is created, and properties are proposed according to the predicted conditions using the model. A specific description will be given below.

In the optimum property proposal process, the property information management unit 40 refers to the contract information DB 43 in which information on past and current contracts of the real estate company is stored (step S21 in FIG. 6), and obtains necessary information from the contract information DB 43. Extract (step S22).

In step S<b>22 , the property information management unit 40 extracts information (household attributes, etc.) on households living in each house H from the contract information DB 43 . In this embodiment, as an example, for a plurality of houses H (households), Yst: the distance from the station to the house H, x1: the number of household members, x2: the age of the householder, x3: the age of the eldest child, x4: the number of double-income Presence/absence x5: information on whether or not the person currently lives in a detached house is extracted.

FIG. 7 shows an example of information on Yst, x1 to x5 (information for four households) extracted by the property information management unit 40. As shown in FIG. As for x4: whether or not both parents work, and x5: whether or not they currently live in a detached house, the presence or absence (correctness) is indicated by a numerical value of 0 or 1.

The property information management unit 40 also acquires information input by the property searcher (step S24). The information is information (household attributes, etc.) related to the property searcher, and is information including the number of household members (x1 to x5 above) of the property searcher. The information can be input using the input unit 50 .

From the information extracted from the contract information DB 43 (step S22) and the information input by the property searcher (step S24), the property information management unit 40 determines the conditions considered to be optimal for the property searcher (for example, from the station to the house). distance Yst) is calculated (step S25).

Specifically, based on the information stored in the contract information DB 43, the property information management unit 40 first creates a model for calculating (predicting) conditions considered to be optimal for the property searcher. In this embodiment, the property information management unit 40 is assumed to create a multiple regression model as shown in Equation 1 below.
(Number 1)...
Yi=ε+a1·x1+a2·x2+a3·x3+a4·x4+a5·x5

Here, Yi is a condition considered to be optimal for the property searcher (in this embodiment, the distance from the station to the house), ε is a constant term (intercept), and a1 to a5 are coefficients. The property information management unit 40 determines ε and a1 to a5 in Equation 1 above based on the information stored in the contract information DB 43 . In this way, based on the information on the past and current contracts of the real estate company (information in the contract information DB 43), the conditions considered to be optimal for the property searcher (hereinafter also referred to as "recommended conditions") are calculated. A model can be determined for

In addition, the property information management unit 40 substitutes the information (x1 to x5) of the property searcher acquired in step S24 for the variables (x1 to x5) of the created model (Formula 1). to calculate the condition Yi. For example, the distance Yi from the station to the house, which is thought to be optimal for the property searcher, is calculated.

In this embodiment, as an example of the conditions, Yi: the distance from the station to the house was exemplified, but the property information management unit 40 similarly creates models for various other conditions, and stores the information of the property searcher. It can be calculated by substituting it into the model. For example, distances to schools, supermarkets, parks, large commercial facilities, and the like can be calculated as distance conditions. In addition, it is possible to calculate the population of the area, the number of households in the area, the population density of the area, the GDP, etc. as conditions related to the area (ward, town, etc.) in which the house is located.

The property information management unit 40 can also calculate "strictness to rules and manners", "sensitivity to perceive things", "deepness of involvement in things", etc. as conditions related to values. Values such as "strictness to rules and manners" of each house H and property searcher can be obtained by the above-described housing value analysis process. Therefore, since the property information management unit 40 has the information on the values of the property searcher in advance, there is no need to input it separately (step S24).

The property information management unit 40 refers to the property information DB 44 in which property information is stored (step S26), and searches for (near) property that satisfies the property searcher's condition Yi calculated in step S25 (step S27).

The property information management unit 40 outputs information about the property searched in step S27 (step S28). Specifically, the property information management unit 40 causes the property display unit 60 to display the address, rent, etc. of the searched property.

A specific example of the property searcher's condition Yi (step S25) and a specific example of the searched property (step S27) calculated in the optimum property proposal process described above will be described below.

As shown in FIG. 8, as the input information, the property searcher's information, specifically the family structure, the age of the person (household head), the current address, etc., is input (step S24). In addition, the property information management unit 40 has information on values through the housing values analysis process.

The property information management unit 40 substitutes the input information for the variables (x1 to x5) of the model represented by Equation 1 above, thereby calculating various conditions that are considered to be optimal for the property searcher. FIG. 8 shows an example of various conditions. Specifically, FIG. 8 shows “distance to station”, “distance to school” and “distance to supermarket” (how many minutes on foot) as “distance conditions” (distance-related conditions). . FIG. 8 also shows "area population" and "number of households in an area" as "area conditions" (conditions related to areas). FIG. 8 also shows "strictness to rules and manners" and "sensitivity to perceive things" as "values conditions" (conditions related to values).

The property information management unit 40 notifies the property searcher by causing the property display unit 60 to display each item and its recommended conditions (conditions considered to be optimal for the property searcher) as shown in FIG. is also possible.

Furthermore, as shown in FIG. 9, the property information management unit 40 searches for properties from the property information DB 44 based on the "distance condition", "area condition" and "value condition" that are considered to be optimal for the property searcher. , to extract some of them.

At this time, the property information management unit 40 searches and extracts properties suitable for the property searcher based on the condition suitability. Here, the "condition suitability" is a numerical representation of the degree of suitability between the conditions considered to be optimal for the property searcher (the conditions calculated in step S25) and the conditions of each property stored in the property information DB 44. is.

Condition suitability can be calculated by any method. For example, for each condition included in the "distance condition" (in the example of FIG. 8, "distance from station", "distance from school" and "distance from supermarket"), the value of each property and step S25 The ratio (percentage) of the values calculated in (values of the conditions considered to be optimal for the property searcher) can be calculated, and the average thereof can be used as the degree of conformity of the "distance condition". The closer the condition matching degree is to 100%, the more suitable the property is for the property searcher.

The property information management unit 40 extracts several properties with a high degree of condition matching from the properties stored in the property information DB 44, and displays them on the property display unit 60 as shown in FIG. The search result can be notified (presented) (step S28).

Although the example shown in FIG. 9 shows an example in which a table is created for each type of condition (“distance condition”, “area condition” and “value condition”), the display method is limited to this. is not. For example, as shown in FIG. 10, it is also possible to collectively show in one table without distinguishing the types of conditions. In this case, as shown in FIG. 10, it is also possible to rearrange the display order of properties according to the degree of suitability for any one of the types of conditions (“distance condition”, “area condition” and “value condition”). be. As a result, it becomes possible to present a property giving priority to the conditions desired by the property searcher.

Moreover, although the example shown in FIG. 9 shows an example in which the degree of condition suitability is calculated for each type of condition, the method of calculating the degree of condition suitability is not limited to this. For example, it is possible to calculate a condition matching rate including all conditions (distance condition, area condition, and value condition in this embodiment) and search properties based on the condition matching rate. This makes it possible to search for the most suitable property considering all the conditions.

In addition, it is possible to include the degree of satisfaction with the housing as the information from which the above model (Equation 1) is created. Specifically, by creating the model after performing weighting according to the degree of satisfaction of the residents of the housing contracted with the real estate company, it becomes possible to present properties with a higher degree of satisfaction.

In addition, in the present embodiment, the search results and the like are displayed on the property display unit 60 provided in a real estate company or the like. is also possible. As a result, the resident of the house H can search for properties from his/her home or the like via the Internet without going to a real estate company or the like.

As described above, the property information management system 1 (property search system) according to the present embodiment is
the values evaluation system;
a property condition determination unit (property information management unit 40, step S25) that determines recommended conditions for a property suitable for the user based on the user's sense of values;
is provided.
By configuring in this way, it is possible to make it easier to find properties of residents who have similar values or are compatible with each other. This makes it easier for you to purchase properties that match your sense of values.

In addition, the property information management system 1 according to this embodiment is
a model creation unit (property information management unit 40, step S25) that creates a model showing the relationship between household information and property conditions;
an acquisition unit (property information management unit 40, step S24) for acquiring information about a predetermined household;
A property condition determination unit (property information management unit) that determines recommended conditions for a property suitable for the predetermined household based on the information about the predetermined household acquired by the acquisition unit and the model created by the model creation unit 40, step S25);
is provided.
By configuring in this way, it is possible to easily determine the property search condition. That is, the property searcher can determine search conditions according to the model only by inputting information about his own household.

In addition, the property information management system 1
It further comprises a search unit (property information management unit 40, step S27) that searches for properties according to the recommended conditions determined by the property condition determination unit.
By configuring in this way, it is possible to easily search for properties according to the determined search conditions.

In addition, the recommended conditions include:
It includes a condition regarding the distance between the property and a predetermined facility.
By configuring in this way, it is possible to search for a property with high convenience.

In addition, the recommended conditions include:
It includes conditions related to the area in which the property is located.
By configuring in this way, it is possible to search for a property with a suitable living environment.

The recommended conditions include:
A condition relating to the values of the predetermined household is included.
By configuring in this way, it is possible to make it easier to find a residence H of a resident who has a similar sense of value or a good compatibility. This makes it easier for the user to purchase a house H suitable for his sense of values.

Although the embodiments of the present invention have been described above, the present invention is not limited to the above configurations, and various modifications are possible within the scope of the invention described in the claims.

For example, the property information management system 1 can be applied not only to detached houses but also to collective housing such as condominiums.

In addition, the property information management system 1 can be applied not only to houses but also to various other buildings. In this case, it is possible to evaluate the values of the people (users) who use the building.

Also, the display methods (FIGS. 5, 8, 9 and 10, etc.) shown in the above embodiments are examples, and the results of various processes can be displayed in any manner.

Also, the model (multiple regression model) shown in Equation 1 above is an example, and any method can be used for modeling.

Further, the subject of each of the above-described processes (lifestyle values analysis process, optimum property proposal process, etc.) is not particularly limited. For example, the housing information management unit 20 of each housing H performs various processes (evaluation of values, property search, etc.), and only the results can be passed to the property information management unit 40 provided in a real estate company or the like. is. In addition, the housing information management unit 20 of each housing H performs only the process of transferring the information detected by the sensors 10 to the property information management unit 40, and performs other processing (evaluation of values, property search, etc.). It is also possible for the property information management unit 40 to perform this.

1 property information management system 10 sensors 11 lighting sensor 12 human sensor 13 air conditioner sensor 14 body movement sensor 15 camera 16 microphone 20 housing information management unit 30 housing display unit 40 property information management unit 50 input unit 60 property display unit

Claims (7)

a detection unit provided in a building for detecting the content of user activity in the building;
an evaluation unit that evaluates the user's sense of values based on the activity content of the user detected by the detection unit;
and
The detection unit is
located in multiple buildings,
The evaluation unit
In evaluating the user's values,
As information indicating values of users of the plurality of buildings, the users of the plurality of buildings are divided into a plurality of values based on numerical values obtained by converting the activity content of the users detected by the detection unit. sort into groups,
value system. As the evaluation criteria for the values,
including at least one of strictness to rules and/or manners, sensitivity to things, or deep involvement in things;
The value evaluation system according to claim 1. a detection unit provided in a building for detecting the content of user activity in the building;
an evaluation unit that evaluates the user's sense of values based on the activity content of the user detected by the detection unit;
and
As the evaluation criteria for the values,
including at least one of strictness to rules and/or manners, sensitivity to things, or deep involvement in things;
value system. The evaluation unit
assessing the values based on multiple criteria;
The value evaluation system according to any one of claims 1 to 3. The detection unit is
At least one of a sound detection unit that detects sound, an imaging unit that acquires video, or a lighting detection unit that detects whether the lighting is on,
The value evaluation system according to any one of claims 1 to 4. Further comprising an output unit that outputs a result of processing by the evaluation unit;
The value evaluation system according to any one of claims 1 to 5. A value evaluation system according to any one of claims 1 to 6;
a property condition determination unit that determines recommended conditions for a property suitable for the user based on the evaluation result by the value evaluation system ;
Property search system comprising.

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