Information processing device, information processing method, system, and program

Abstract

To provide an information processing device, a method, a system, and a program for charging and exchanging a battery detachably mounted to an electrically driven product.SOLUTION: In a system including an information processing device and multiple terminals, the information processing device has an acquisition section for acquiring data showing mutually different features regarding each position of multiple meshes obtained by dividing a predetermined area in which a station can be installed, a first generation section for generating a composition map showing a degree of recommendation for recommending installation of each station of multiple meshes, an extraction section for extracting a predetermined number of meshes from those having higher degree of recommendation on the basis of the composition map, a presentation section for presenting each of a predetermined number of meshes to a terminal related to a user as a candidate of a location for installing a station, a determination section for determining an evaluation value as a place for installing a station according to a user's selection of a candidate for each of a predetermined number of meshes, and a second generation section for generating an installation recommendation place map updated on the basis of an evaluation value.SELECTED DRAWING: Figure 3

Description

[Technical Field]

[0001] The present invention relates to an information processing device, an information processing method, a system, and a program. [Background technology]

[0002] In recent years, in light of environmental concerns such as global warming, attention has been focused on electric vehicles, which are vehicles (moving objects) such as four-wheeled automobiles, three-wheeled automobiles, and two-wheeled automobiles that can run using an electric motor as a power source. In electric vehicles, a battery unit that is replaceably and detachably mounted on the electric vehicle, i.e., a mobile battery, is used as the battery unit that supplies power to the electric motor. Because mobile batteries are generally replaceable, the issue of charging time can be avoided by lending, collecting, and charging the mobile battery through a battery station.

[0003] In this environment surrounding electric vehicles, a technology has been proposed that provides information useful for installing battery stations (see Patent Document 1). Patent Document 1 discloses a technology that predicts the number of electric vehicles moving in a specific area (within each cluster divided into the area) and the number of batteries required from actual data and statistical data, and determines the number of slots to be deployed in a battery station to be installed in the specific area. A slot is a storage unit for storing and charging batteries. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Publication No. 2020-154586 Summary of the Invention [Problem to be solved by the invention]

[0005] As awareness of environmental issues grows, it is expected that the use of electric vehicles will become more widespread, inevitably increasing the demand for battery stations. Therefore, there is a need for new technology that can, for example, suggest battery station installation locations that are beneficial to operators who install and operate battery stations and battery station users.

[0006] An exemplary object of the present invention is to provide a technique that is advantageous for suggesting recommended locations for installing stations for charging and replacing batteries that are detachably mounted on electrically powered products. [Means for solving the problem]

[0007] An information processing device according to a first aspect of the present invention provides a recommended installation location map indicating locations where it is recommended to install stations for charging and replacing batteries detachably mounted on electric products, the information processing device including: an acquisition unit that acquires, for each of a plurality of meshes obtained by dividing a predetermined area in which the stations can be installed, first position data and second position data indicating different characteristics related to the position of the mesh; a first generation unit that combines a map in which a first weight is assigned to a first map generated from a first characteristic indicated by the first position data and a map in which a second weight different from the first weight is assigned to a second map generated from a second characteristic indicated by the second position data, to generate a combined map indicating a degree of recommendation for recommending the installation of the stations for each of the plurality of meshes; The system is characterized by having an extraction unit that extracts a predetermined number of meshes with the highest recommendation level based on a composite map; a presentation unit that presents each of the predetermined number of meshes to a terminal associated with a user as a candidate location for installing the station; a determination unit that determines an evaluation value for each of the predetermined number of meshes as a location for installing the station in accordance with the user's selection of the candidate; an update unit that updates the first weight and the second weight based on the correlation between the evaluation value and the first feature and the correlation between the evaluation value and the second feature; and a second generation unit that generates the recommended installation location map by combining a map in which the first map is given the updated first weight and a map in which the second map is given the updated second weight.

[0008] An information processing device as a second aspect of the present invention is an information processing device that provides a recommended installation location map indicating recommended locations for installing stations for charging and replacing batteries that are detachably mounted on electric products, and is characterized by having: a presentation unit that presents candidate locations for installing the stations based on a composite map that combines a map in which a first weight is assigned to a first map generated from first position data regarding the positions of each of a plurality of meshes that divide a predetermined area in which the stations can be installed, and a map in which a second weight different from the first weight is assigned to a second map generated from second position data that is different from the first position data; an update unit that updates the first weight and the second weight in accordance with a user's selection of the candidate; and a generation unit that generates the recommended installation location map by combining the map in which the updated first weight is assigned to the first map and the map in which the updated second weight is assigned to the second map.

[0009] An information processing method according to a third aspect of the present invention is an information processing method for providing a recommended installation location map indicating locations where it is recommended to install stations for charging and replacing batteries detachably mounted on electric products, the information processing method including the steps of: acquiring, for each of a plurality of meshes obtained by dividing a predetermined area in which the stations can be installed, first position data and second position data indicating different characteristics related to the position of the mesh; and combining a map in which a first weight is assigned to a first map generated from a first characteristic indicated by the first position data, and a map in which a second weight different from the first weight is assigned to a second map generated from a second characteristic indicated by the second position data, to generate a combined map indicating a degree of recommendation for recommending the installation of the stations for each of the plurality of meshes; The method includes the steps of: extracting a predetermined number of meshes with the highest recommendation level based on the composite map; presenting each of the predetermined number of meshes to a terminal associated with a user as a candidate location for installing the station; determining an evaluation value for each of the predetermined number of meshes as a location for installing the station in accordance with the user's selection of the candidate; updating the first weight and the second weight based on the correlation between the evaluation value and the first feature and the correlation between the evaluation value and the second feature; and generating the recommended installation location map by combining a map in which the first map is given the updated first weight and a map in which the second map is given the updated second weight.

[0010] A fourth aspect of the present invention provides a system including an information processing device that provides a recommended installation location map indicating locations where stations for charging and replacing batteries detachably mounted on electric products are recommended to be installed, and a terminal associated with a user, wherein the information processing device includes an acquisition unit that acquires, for each of a plurality of meshes obtained by dividing a predetermined area in which the stations can be installed, first position data and second position data indicating different characteristics related to the position of the mesh, and a combined map that assigns a first weight to a first map generated from a first characteristic indicated by the first position data and a second weight that is different from the first weight to a second map generated from a second characteristic indicated by the second position data, to generate a combined map indicating a degree of recommendation for recommending installation of the stations for each of the plurality of meshes. an extraction unit that extracts a predetermined number of meshes from the one with the highest recommendation level based on the composite map; a presentation unit that presents each of the predetermined number of meshes to a terminal associated with a user as a candidate location for installing the station; a determination unit that determines an evaluation value for each of the predetermined number of meshes as a location for installing the station in accordance with the user's selection of the candidate; an update unit that updates the first weight and the second weight based on the correlation between the evaluation value and the first feature and the correlation between the evaluation value and the second feature; and a second generation unit that generates the recommended installation location map by combining a map in which the first map is given the updated first weight and a map in which the second map is given the updated second weight.

[0011] A fifth aspect of the present invention provides a program for causing a computer to execute the above-described information processing method.

[0012] Further objects and other aspects of the present invention will become apparent from the following description of the embodiments with reference to the accompanying drawings. [Effects of the Invention]

[0013] According to the present invention, for example, it is possible to provide a technique that is advantageous for proposing a recommended location for installing a station for charging and replacing a battery that is detachably mounted in an electrically powered product. [Brief explanation of the drawings]

[0014] [Figure 1] 1 is a schematic diagram showing a configuration of a system according to one aspect of the present invention. [Figure 2] FIG. 1 is a schematic diagram illustrating a configuration of an information processing device. [Figure 3] FIG. 2 is a diagram illustrating a configuration of functional blocks realized by a processing unit of the information processing device. [Figure 4] FIG. 10 is a diagram showing an example of a predetermined area and a plurality of meshes in which stations can be installed. [Figure 5] 10A and 10B are diagrams conceptually showing a process of generating a composite map from a first intermediate map and a second intermediate map. [Figure 6] FIG. 10 is a diagram conceptually illustrating a process for generating a composite map from an intermediate map. [Figure 7] 10A and 10B are diagrams conceptually illustrating a process of extracting meshes with a high degree of recommendation from a composite map. [Figure 8] 10A and 10B are diagrams for explaining an example of specific processing by a presenting unit and a determining unit. [Figure 9] 10A and 10B are diagrams illustrating an example of a specific process performed by a presentation unit. [Figure 10] FIG. 10 is a diagram for explaining an example of a specific process performed by a determination unit. [Figure 11] 10 is a diagram for explaining an example of specific processes performed by a first generating unit, an extracting unit, a presenting unit, and a determining unit. FIG. [Figure 12] The specific processing of the update unit will be described. [Figure 13] FIG. 2 is a diagram for explaining the flow of a recommended map service in the system shown in FIG. DETAILED DESCRIPTION OF THE INVENTION

[0015] Hereinafter, the embodiments will be described in detail with reference to the accompanying drawings. Note that the following embodiments do not limit the invention according to the claims, and not all combinations of features described in the embodiments are necessarily essential to the invention. Two or more of the features described in the embodiments may be arbitrarily combined. Furthermore, the same reference numerals are used for the same or similar components, and redundant explanations will be omitted.

[0016] FIG. 1 is a schematic diagram showing the configuration of a system 1 according to one aspect of the present invention. The system 1 realizes a new service (technology) that suggests locations for battery stations (hereinafter referred to as "stations") for charging and replacing batteries. Here, the battery refers to a replaceable battery, a so-called mobile battery, that is detachably mounted on an electric vehicle such as an automobile, a three-wheeled automobile, or a motorcycle. The station includes multiple slots that detachably accommodate batteries, and the batteries are charged and replaced via each slot.

[0017] As shown in Fig. 1, the system 1 includes an information processing device 2 and a terminal 3. In the system 1, the information processing device 2 and the terminal 3 are connected to each other so as to be able to communicate with each other via a communication network. Note that Fig. 1 illustrates an example in which there is one information processing device 2 and four terminals 3, but these numbers are not limited thereto.

[0018] The information processing device 2 is configured by a general-purpose computer. In the system 1, the information processing device 2 functions as a server that proposes recommended locations for installing stations, and in this embodiment, provides a recommended installation location map showing recommended locations for installing stations.

[0019] As shown in Fig. 2, the information processing device 2 includes a processing unit 22, a storage unit 24, and a communication unit 26. The processing unit 22 includes a processor such as a CPU, and executes programs stored in the storage unit 24. The storage unit 24 includes storage devices such as RAM, ROM, and a hard disk. The communication unit 26 includes a wired or wireless communication interface that can communicate with other devices (external devices) such as the terminal 3 via a communication network. Fig. 2 is a schematic diagram showing the configuration of the information processing device 2.

[0020] The terminal 3 is a terminal used by a user 4, including an operator who installs and operates the station and a user of the station, and is a terminal associated with the user 4. In this embodiment, the terminal 3 is assumed to be a portable terminal that can be carried by the user 4, but this does not exclude a fixed terminal such as a computer. Specifically, the terminal 3 includes a smartphone, a tablet terminal, a wearable terminal that can be attached to a part of the body of the user 4 (for example, the wrist), etc.

[0021] The terminal 3 includes a communication unit 32 and a display unit 34. The communication unit 32 includes a wired or wireless communication interface capable of communicating with other devices (external devices) such as the information processing device 2 via a communication network. The communication unit 32 also includes a communication interface capable of communicating with other terminals 3 via short-range wireless communication. The display unit 34 includes a monitor such as a touch panel display, and displays various information as images, including information related to the terminal 3 and information provided to the user 4 from the information processing device 2.

[0022] In the system 1 having such a configuration, as described above, a map of recommended locations for installing stations is provided via the information processing device 2 as a new service for proposing to the operator locations for installing stations that will be beneficial to the operator and users of the stations. Such a service will be referred to as a recommended map service hereinafter. The recommended map service is useful to users 4, particularly station operators. However, even if the user 4 is a user of the station, the recommended map service is also indirectly useful to the user, since the user's needs can be reflected in the recommended installation location map.

[0023] In this embodiment, to realize the recommended map service, the information processing device 2 includes functional blocks as shown in FIG. 3. In detail, the processing unit 22 of the information processing device 2 includes, as functional blocks, an acquisition unit 221, a first generation unit 222, an extraction unit 223, a presentation unit 224, a determination unit 225, an update unit 226, and a second generation unit 227. FIG. 3 is a diagram showing the configuration of functional blocks realized by the processing unit 22 of the information processing device 2. Note that each of the functions (blocks) described below may be combined or separated, and the described functions may be realized by different blocks. Furthermore, what is described as hardware may be realized by software, and vice versa.

[0024] The acquisition unit 221 acquires, via the communication unit 26, a plurality of pieces of location data indicating different characteristics related to the location of each of a plurality of meshes into which a predetermined area in which stations can be installed is divided. Here, the predetermined area is an area (region) including automobile dealerships, trunk roads, expressways, public facilities, and the like where stations are typically installed, as shown in FIG. 4, and a mesh is a partial area obtained by dividing the predetermined area, for example, by grid lines. The shape of the mesh is not limited to a rectangular shape; the predetermined area may be divided into any shape, such as a triangle, a trapezoid, or a pentagon. FIG. 4 is a diagram showing an example of a predetermined area in which stations can be installed and a plurality of meshes MSx. The location data is time-series data (movement data) including various information characterizing the location of each mesh. Examples of characteristics indicated by the location data include the demand for stations in each mesh and the land prices of each mesh. Other examples of characteristics indicated by the location data include the population in each mesh (daytime population, population by age, population by gender, etc.), the traffic volume of electric vehicles in each mesh, and the number of commercial facilities in each mesh. However, the characteristics indicated by the location data are not limited to these. Furthermore, the acquisition unit 221 can acquire these location data from the user 4 (terminal 3), a data provider, a government agency, etc., depending on the characteristics. For example, the demand for a station can be acquired by conducting a survey regarding the demand for the station to users (users 4) of the station via the terminal 3. Furthermore, land prices can be acquired by referring to land price assessment information disclosed by government agencies. In this embodiment, to facilitate understanding of the invention, the number of multiple location data acquired by the acquisition unit 221 is set to two, and the two location data are distinguished by being referred to as first location data and second location data.

[0025] The first generation unit 222 generates a composite map indicating the degree of recommendation for recommending the installation of each station in multiple meshes that divide a specified area, based on the multiple position data (first position data and second position data) acquired by the acquisition unit 221.

[0026] First, the first generation unit 222 converts the features indicated by the first position data acquired by the acquisition unit 221 into a recommendation level for recommending station installation, and generates a first intermediate map (first map) indicating the recommendation level for each mesh. Similarly, the first generation unit 222 converts the second features indicated by the second position data acquired by the acquisition unit 221 into a recommendation level, and generates a second intermediate map (second map) indicating the recommendation level for each mesh. Note that information for converting the features indicated by the position data into recommendation levels is stored in advance in the storage unit 24 as, for example, a table 424 indicating the relationship between the features indicated by the position data and the recommendation levels.

[0027] FIG. 5 is a diagram illustrating an example of an intermediate map showing the recommendation level for the installation of a station in each of multiple grids. In FIG. 5, the recommendation level for the installation of a station is indicated by the color intensity of each grid. Consider, for example, a case where the feature indicated by the first location data is the station's demand level and the feature indicated by the second location data is land price. In this case, the first generation unit 222 generates a first intermediate map IM1 from the first location data and a second intermediate map IM2 from the second location data as intermediate maps showing the recommendation level for each grid. The station's demand level indicates the degree to which users want the station to be installed and is considered a positive feature for station installation, so the recommendation level value is expressed as a plus (+). Therefore, in the first intermediate map IM1, grids with darker colors indicate locations where the installation of a station is strongly recommended. On the other hand, land price indicates the cost (such as installation costs) required for station installation and is considered a negative feature for station installation, so the recommendation level value is expressed as a minus (-). Therefore, in the second intermediate map IM2, meshes with darker colors indicate locations where station installation is not recommended.

[0028] Next, the first generation unit 222 generates a weighted intermediate map by assigning different weights to each of the multiple intermediate maps generated from the multiple position data acquired by the acquisition unit 221, and then combines these weighted intermediate maps to generate a composite map.

[0029] 6 is a diagram conceptually illustrating the process of generating a composite map CM from the first intermediate map IM1 and the second intermediate map IM2. The first generation unit 222 assigns a first weight Wa to the first intermediate map IM1 to generate a first weighted intermediate map WIM1. Similarly, the first generation unit 222 assigns a second weight Wb, which is different from the first weight Wa, to the second intermediate map IM2 to generate a second weighted intermediate map WIM2. Here, the weights 244 assigned to the intermediate map including the first weight Wa and the second weight Wb are initially stored as default values ​​in the storage unit 24, and are updated at other times, as described below. The first generation unit 222 then combines the first weighted intermediate map WIM1 and the second weighted intermediate map WIM2 to generate a composite map CM that indicates the degree of recommendation for recommending the installation of a station in each mesh. In this embodiment, the first weighting intermediate map WIM1 and the second weighting intermediate map WIM2 are combined by adding the first weighting intermediate map WIM1 and the second weighting intermediate map WIM2 together. However, the method for combining the first weighting intermediate map WIM1 and the second weighting intermediate map WIM2 is not limited to this. For example, the first weighting intermediate map WIM1 and the second weighting intermediate map WIM2 may be multiplied together, or the second weighting intermediate map WIM2 may be subtracted from the first weighting intermediate map WIM1.

[0030] The extraction unit 223 extracts a predetermined number of meshes with a high degree of recommendation for station installation based on the composite map generated by the first generation unit 222. The predetermined number, i.e., the number of meshes to be extracted from the composite map (extraction number), can be set to any number by, for example, a provider of a recommended map service or a station operator (user 4). Figure 7 is a diagram conceptually showing the process of extracting meshes with a high degree of recommendation from the composite map CM. In Figure 7, the predetermined number is set to 3, so the extraction unit 223 extracts three meshes MS1, MS2, and MS3 with a high degree of recommendation from the composite map CM.

[0031] The presentation unit 224 presents each of the predetermined number of meshes extracted by the extraction unit 223 to the terminal 3 associated with the user 4 as a candidate location for installing the station. In this embodiment, the presentation unit 224 generates image data showing the candidate locations for installing the station as an image, and transmits the image data to the terminal 3 via the communication unit 26. In the terminal 3 that receives the image data from the presentation unit 224, the candidate locations for installing the station are displayed as an image on the display unit 34. Therefore, the user 4 can easily recognize (understand) the candidate locations for installing the station via the terminal 3. Furthermore, the user 4 can easily select the candidate locations for installing the station via the terminal 3.

[0032] The determination unit 225 determines an evaluation value for each of the predetermined number of meshes extracted by the extraction unit 223 as a location for installing the station, in accordance with the selection of candidate locations for installing the station by the user 4. Basically, the determination unit 225 determines the evaluation value for each mesh so that the evaluation value is high for meshes corresponding to candidates selected by the user 4, and so that the evaluation value is low for meshes corresponding to candidates not selected by the user 4.

[0033] Here, specific processing by the presenting unit 224 and the determining unit 225 will be described with reference to FIGS.

[0034] For example, as shown in FIG. 8, the presentation unit 224 presents (displays) each of the three meshes MS1, MS2, and MS3 extracted by the extraction unit 223 (their corresponding locations) as candidate locations CDA, CDB, and CDC for installing stations in a selectable manner. The presentation unit 224 may present one of the candidate locations CDA, CDB, and CDC in a selectable manner, or may present multiple candidate locations CDA, CDB, and CDC in a selectable manner. In this case, the presentation unit 224 may present stations that have already been installed in addition to the candidate locations CDA, CDB, and CDC. User 4 can select the candidate locations CDA, CDB, and CDC as locations for installing stations by tapping (pressing) the candidate locations CDA, CDB, and CDC presented on the terminal 3. For example, consider a case where user 4 selects one candidate location CDB and does not select the candidate locations CDA and CDC. In this case, the determination unit 225 determines the evaluation value so that the evaluation value of the mesh MS2 (the mesh selected as a candidate) corresponding to the candidate CDB is higher than the evaluation values ​​of the meshes MS1 and MS3 (the meshes not selected as candidates) corresponding to the candidate CDA and CDC, respectively. Specifically, as shown in FIG. 8, the evaluation value of the mesh MS2 is set to "2", and the evaluation values ​​of the meshes MS1 and MS3 are set to "1". In addition, if multiple candidate CDAs and CDCs are selected by the user 4 and no candidate CDB is selected, the evaluation values ​​of the meshes MS1 and MS3 corresponding to the candidate CDAs and CDCs may be set to "2", and the evaluation value of the mesh MS2 corresponding to the candidate CDB may be set to "0".

[0035] In addition, the presentation unit 224 may present the candidate locations CDA, CDB, and CDC for installing stations for each of the three grids MS1, MS2, and MS3 extracted by the extraction unit 223 in a selectable manner (Good, Bad), as shown in FIG. 9. For example, consider the case where the user 4 selects Good for the candidate CDB (button GB indicating "Good") and Bad for the candidates CDA and CDC (button BB indicating "Bad"). In this case, the determination unit 225 determines the evaluation value so that the evaluation value of the grid MS2 corresponding to the candidate CDB (the grid selected as a good candidate) is higher than the evaluation values ​​of the grids MS1 and MS3 corresponding to the candidate CDA and CDC (the grids selected as bad candidates). Specifically, the evaluation value of the grid MS2 is set to "2," and the evaluation values ​​of the grids MS1 and MS3 are set to "0." Note that when the candidate locations for installing stations are presented in a selectable manner, it is possible that there are candidates for which the user 4 has not selected Good or Bad. In such a case, the evaluation value of the mesh not selected as a candidate should be determined so that it is lower than the evaluation value of the mesh selected as a candidate and higher than the evaluation value of the mesh selected as a candidate. Specifically, the evaluation value of the mesh corresponding to the candidate for which the evaluation value of the mesh is not selected is set to "1". Also, consider the case where the meshes MS1, MS2, and MS3 are presented as candidates for the location of the stations to be installed, and Good is selected for the candidate CDA and CDB, and Bad is selected for the candidate CDC. In this case, the determination unit 225 determines the evaluation value so that the evaluation value of the mesh MS1 (first mesh) corresponding to the candidate CDA and the evaluation value of the adjacent mesh MS11 adjacent to the mesh MS1 are higher than the evaluation value of the meshes located more than a predetermined distance from the mesh MS1. Similarly, the determination unit 225 determines the evaluation value so that the evaluation value of the mesh MS2 corresponding to the candidate CDB and the evaluation value of the adjacent mesh MS21 adjacent to the mesh MS2 are higher than the evaluation value of the meshes located more than a predetermined distance from the mesh MS2.Specifically, the evaluation value of the mesh MS1 and the evaluation value of the adjacent mesh MS11 and the evaluation value of the mesh MS2 and the adjacent mesh MS21 are set to "2", and the evaluation value of the mesh MS1 or mesh MS2 is set to "0". Also, the determination unit 225 determines the evaluation value so that the evaluation value of the mesh MS3 (second mesh) corresponding to the candidate CDC and the evaluation value of the adjacent mesh MS31 adjacent to the mesh MS3 are lower than the evaluation value of the mesh that is a predetermined distance or more away from the mesh MS3. Specifically, the evaluation value of the mesh MS3 and the evaluation value of the adjacent mesh MS31 are set to "0", and the evaluation value of the mesh that is a predetermined distance or more away from the mesh MS3 is set to "2".

[0036] Also, as shown in FIG. 11, predetermined meshes extracted from each of a plurality of composite maps may be sequentially presented to terminal 3 as selectable candidates for locations where stations are to be installed, and an evaluation value for the locations where stations are to be installed may be determined.

[0037] Referring to Figure 11, first, the first generation unit 222 generates multiple composite maps, for example, a first composite map CM1, a second composite map CM2, and a third composite map CM3, while randomly changing the first weight Wa and the second weight Wb.

[0038] Next, the extraction unit 223 extracts three meshes MS101, MS102, and MS103 from the first composite map CM1 in order of recommendation level for station installation. Similarly, the extraction unit 223 extracts three meshes MS201, MS202, and MS203, and meshes MS301, MS302, and MS303 from the second composite map CM2 and the third composite map CM3 in order of recommendation level.

[0039] Next, the presentation unit 224 sequentially presents to the terminal 3 a first layout LO1, a second layout LO2, and a third layout LO3, which are candidate locations for installing the station, obtained from the first composite map CM1, the second composite map CM2, and the third composite map CM3, respectively, in a selectable manner. The first layout LO1 is a layout in which the meshes MS101, MS102, and MS103 extracted from the first composite map CM1 are each set as candidate locations for installing the station NEW. The second layout LO2 is a layout in which the meshes MS201, MS202, and MS203 extracted from the second composite map CM2 are each set as candidate locations for installing the station NEW. The third layout LO3 is a layout in which the meshes MS301, MS302, and MS303 extracted from the third composite map CM3 are each set as candidate locations for installing the station NEW. The user 4 can select any layout by tapping (pressing) the selection button SLB while any of the first layout LO1, second layout LO2, and third layout LO3 is displayed on the display unit 34 of the terminal 3.

[0040] Next, the determination unit 225 determines the evaluation value so that the evaluation value of the mesh corresponding to the candidate in the arrangement selected by the user 4 from among the arrangements sequentially presented by the presentation unit 224 is higher than the evaluation value of the mesh corresponding to the candidate in the arrangement not selected by the user 4. For example, consider a case where the third arrangement LO3 is selected from the first arrangement LO1, the second arrangement LO2, and the third arrangement LO3. In this case, the determination unit 225 sets the evaluation values ​​of the meshes MS301, MS302, and MS303 corresponding to the candidate NEW in the second arrangement LO3 selected by the user 4 to "2." On the other hand, the determination unit 225 sets the evaluation values ​​of the meshes MS101, MS102, and MS103 corresponding to the candidate NEW in the first arrangement LO1 and the second arrangement LO2 not selected by the user 4, and the evaluation values ​​of the meshes MS201, MS202, and MS203 to "0."

[0041] The update unit 226 determines the correlation (correlation coefficient) between the evaluation value of each mesh as a location for installing a station determined by the determination unit 225 and the features indicated by the position data acquired by the acquisition unit 221, and updates the weights 244 to be assigned to the intermediate map based on this correlation. At this time, if the correlation between the evaluation value of each mesh and the features indicated by the position data indicates a positive correlation, the update unit 226 updates the weights 244 so that the updated weights (updated values) are larger than the weights before the update. On the other hand, if the correlation between the evaluation value of each mesh and the features indicated by the position data indicates a negative correlation, the update unit 226 updates the weights 244 so that the updated weights are smaller than the weights before the update. Note that the correlation between the evaluation value of each mesh and the features indicated by the position data can be strong or weak (i.e., the correlation varies in strength). Therefore, it is preferable that the update unit 226 updates the weights 244 so that the degree of change between the weights before the update and the weights after the update corresponds to the strength of the correlation between the evaluation value of each mesh and the features indicated by the position data.

[0042] Specific processing by the update unit 226 will be described with reference to FIG. 12. In FIG. 12, the evaluation values ​​for the three meshes MS1, MS2, and MS3 extracted by the extraction unit 223 are set to "1," "2," and "1," respectively. Furthermore, for the three meshes MS1, MS2, and MS3, the recommendation levels are set to "2," "1," and "1" in the first intermediate map IM1 (station demand), and the recommendation levels are set to "-1," "-18," and "-5" in the second intermediate map IM2 (land price). In this case, the update unit 226 uses a formula for calculating a correlation coefficient well known in statistics to obtain "-0.5" from the first intermediate map IM1 as the correlation between the evaluation value of each mesh and the demand level of the station. Similarly, the correlation between the evaluation value of each mesh and the land price is obtained as "0.9" from the second intermediate map IM2. Because the correlation between the evaluation value of each mesh and the demand level of the station indicates a strong negative correlation (≦-0.5), the update unit 226 updates the first weight Wa so that the updated first weight Wa' is -1.1 times the first weight Wa before the update (Wa'=-1.1×Wa).On the other hand, because the correlation between the evaluation value of each mesh and land prices indicates a strong positive correlation (≧0.5), the update unit 226 updates the second weight Wb so that the updated second weight Wb' is 1.1 times the second weight Wb before the update (Wb'=1.1×Wb).

[0043] Furthermore, the update unit 226 may update the weights 244 by optimizing the weights 244 using machine learning or a linear programming problem based on the evaluation value of each mesh as a location for installing a station determined by the determination unit 225. Specifically, the update unit 226 updates the weights 244 to the optimal first weights Wa and second weights Wb using machine learning or a linear programming problem, with the evaluation value as the correct answer and each of the first weight Wa and the second weight Wb as a variable.

[0044] The second generation unit 227 generates a recommended installation location map indicating locations where station installation is recommended, based on multiple intermediate maps indicating the recommendation level of each mesh generated from multiple position data acquired by the acquisition unit 221, and the weights 244 updated by the update unit 226. The second generation unit 227 assigns the updated weights 244 to each of the multiple intermediate maps and combines them to generate the recommended installation location map. Specifically, the second generation unit 227 generates the recommended installation location map by combining a map in which the updated first weight Wa' is assigned to the first intermediate map IM1 and a map in which the updated second weight Wb' is assigned to the second intermediate map IM2.

[0045] In this way, in this embodiment, the weights 244 assigned to the intermediate map indicating the recommendation level of each mesh are updated so as to reflect the intentions and needs of users 4, including station operators and users. As a result, the finally generated recommended installation location map indicating recommended locations for station installation will include installation locations of stations that will be beneficial to station operators and users. Therefore, according to this embodiment, it is possible to provide users 4, including station operators and users, with a recommended installation location map indicating useful locations for recommended station installation.

[0046] As mentioned above, there are several variations in the method of presenting candidate locations for installing stations (how to present the candidates) and the method of determining the evaluation value for the location for installing stations (how to determine the evaluation value). This makes it possible to update the weight 244 given to the intermediate map indicating the recommendation level of each mesh so that the intentions and needs of users 4, including station operators and users, are reflected in more detail.

[0047] 13, an example of the flow (information processing method) of the recommended map service in the system 1 will be described below. The recommended map service is realized, for example, by the processing unit 22 reading and executing a program stored in a computer-readable storage medium such as the storage unit 24.

[0048] In S131, the acquisition unit 221 acquires first location data and second location data for each of a plurality of meshes obtained by dividing a predetermined area in which stations can be installed, via the communication unit 26, from the user 4 (terminal 3), a data provider, a government agency, etc. As described above, the first location data and the second location data are data indicating different characteristics related to the location of the mesh. Furthermore, the first location data is location data indicating the demand for the station as a first characteristic related to the location of the mesh, and the second location data is location data indicating land prices as a second characteristic related to the location of the mesh. Here, an example will be described in which the acquisition unit 221 acquires two pieces of location data, but as described above, the number of pieces of location data acquired by the acquisition unit 221 is not limited.

[0049] In S132, the first generation unit 222 converts the first feature indicated by the first data acquired in S131 into a recommendation level for recommending station installation, and generates a first intermediate map IM1 indicating the recommendation level for each mesh. In S133, the first generation unit 222 converts the second feature indicated by the second data acquired in S131 into a recommendation level for recommending station installation, and generates a second intermediate map IM2 indicating the recommendation level for each mesh.

[0050] In this embodiment, the second intermediate map IM2 is generated after the first intermediate map IM1 is generated, but this is not limited to this. For example, the first intermediate map IM1 may be generated after the second intermediate map IM2 is generated, or the first intermediate map IM1 and the second intermediate map IM2 may be generated simultaneously (in parallel). In this way, the order in which S132 and S133 are performed can be set as desired.

[0051] In S134, the first generation unit 222 generates a composite map CM indicating the degree of recommendation for recommending the installation of a station in each mesh from the first intermediate map IM1 generated in S132 and the second intermediate map IM2 generated in S133. As described above, the first generation unit 222 assigns a first weight Wa to the first intermediate map IM1 to generate the first weighted intermediate map WIM1, and assigns a second weight Wb to the second intermediate map IM2 to generate the second weighted intermediate map WIM2. The first generation unit 222 then combines the first weighted intermediate map WIM1 and the second weighted intermediate map WIM2 to generate the composite map CM.

[0052] In S135, the extraction unit 223 extracts a predetermined number of meshes from the composite map CM generated in S134, in descending order of the recommendation level for recommending the installation of stations.

[0053] In S136, the presentation unit 224 presents candidate locations for installing the station to the terminal 3 associated with the user 4, based on the predetermined number of meshes extracted in S135. For example, the presentation unit 224 presents each of the predetermined number of meshes extracted in S135 as a candidate location for installing the station to the terminal 3. The user 4 selects a candidate location by tapping on the candidate location for installing the station that matches their intentions and needs from among the candidate locations for installing the station presented on the terminal 3 (each of the predetermined number of meshes).

[0054] In S137, the determination unit 225 determines an evaluation value for each of the predetermined number of meshes extracted in S135 as a location for installing a station, in accordance with the selection by user 4 of the candidate location for installing the station presented in S136.

[0055] In S138, the update unit 226 updates the first weight Wa and the second weight Wb based on the evaluation value of each mesh as a location for installing a station determined in S137. For example, the update unit 226 determines the correlation between the evaluation value determined in S137 and the first feature, and updates the first weight Wa to a first weight Wa' based on this correlation. Similarly, the update unit 226 determines the correlation between the evaluation value determined in S137 and the second feature, and updates the second weight Wb to a second weight Wb' based on this correlation.

[0056] In S139, the second generation unit 227 generates a recommended installation location map based on the first intermediate map IM1 and the second intermediate map IM2 generated in S132 and S132, respectively, and the first weight Wa' and the second weight Wb' updated in S139. For example, the second generation unit 227 generates the recommended installation location map by combining a map in which the first weight Wa' is assigned to the first intermediate map IM1 with a map in which the second weight Wb' is assigned to the second intermediate map IM2.

[0057] In this way, the recommended installation location map generated in the recommendation map service reflects the intentions and needs of users 4, such as station operators and users, and includes station installation locations that will be beneficial to users 4. Therefore, it is possible to realize a recommendation map service that provides users 4, including station operators and users, with a recommended installation location map that shows recommended locations for installing useful stations.

[0058] Furthermore, after generating the recommended installation location map in S139, by further executing (repeatly) the steps from S135 to S138, it is possible to update the weights to better reflect the intentions and needs of users 4, such as station operators and users. Therefore, by looping S135 to S139, it is possible to provide users 4, including station operators and users, with a recommended installation location map that shows recommended locations for installing even more useful stations.

[0059] In this embodiment, an electric vehicle is used as an example of an object in which a replaceable battery is detachably mounted, but the present invention is not limited to this. The present invention can be widely applied to objects in which a replaceable battery is detachably mounted, including, for example, electric products such as portable power supply devices. In this case, the traffic volume of electric vehicles in each mesh as a feature indicated by the location data is replaced with the number of electric products (number of products in use) in each mesh.

[0060] <Summary of the embodiment> 1. The information processing device of the above embodiment is An information processing device (for example, 2) that provides a recommended installation location map indicating recommended locations for installing stations for charging and replacing batteries detachably mounted on an electric product, An acquisition unit (e.g., 221) that acquires first position data and second position data that indicate different characteristics related to the position of each of a plurality of meshes obtained by dividing a predetermined area in which the station can be installed, and a first generating unit (e.g., 222) that generates a composite map (e.g., CM) indicating the degree of recommendation for recommending the installation of each of the stations in the plurality of meshes by combining a map (e.g., WIM1) in which a first weight (e.g., Wa) is assigned to a first map (e.g., IM1) generated from a first feature indicated by the first position data and a map (e.g., WIM2) in which a second weight (e.g., Wb) different from the first weight is assigned to a second map (e.g., IM2) generated from a second feature indicated by the second position data; an extraction unit (e.g., 223) that extracts a predetermined number of meshes (e.g., MS1, MS2, MS3) in descending order of the recommendation level based on the synthesis map; A presentation unit (e.g., 224) that presents each of the predetermined number of meshes as a candidate location (e.g., CDA, CDB, CDC) for installing the station to a terminal (e.g., 3) associated with a user (e.g., 4); A determination unit (e.g., 225) that determines an evaluation value as a location for installing the station for each of the predetermined number of meshes in accordance with the user's selection of the candidate; an update unit (e.g., 226) that updates the first weight and the second weight based on a correlation between the evaluation value and the first feature and a correlation between the evaluation value and the second feature; a second generation unit (e.g., 227) that generates the recommended installation location map by combining a map in which the first map is given the updated first weight (e.g., Wa') with a map in which the second map is given the updated second weight (e.g., Wb'); The present invention is characterized by having the following:

[0061] According to this embodiment, it is possible to provide the user with a map of recommended installation locations showing recommended locations for installing useful stations.

[0062] 2. In the above-mentioned information processing device (e.g., 2), The presentation unit (e.g., 224) presents each of the predetermined number of meshes to the terminal (e.g., 3) so that it can be selected as the candidate, The determination unit (e.g., 224) is characterized in that it determines the evaluation value of the location for installing the station so that the evaluation value of the mesh selected as the candidate by the user (e.g., 4) is higher than the evaluation value of the mesh not selected as the candidate by the user.

[0063] According to this embodiment, it is possible to update the weights given to the map indicating the recommendation level of each mesh so that the user's intentions and needs are reflected in more detail.

[0064] 3. In the above-mentioned information processing device (for example, 2), The presentation unit (e.g., 224) presents to the terminal (e.g., 3) the goodness or badness of each of the predetermined number of meshes as the candidate in a selectable manner, The determination unit (e.g., 225) is characterized in that it determines the evaluation value of the location for installing the station so that the evaluation value of the mesh selected by the user (e.g., 4) as a good candidate is higher than the evaluation value of the mesh selected by the user as a bad candidate.

[0065] According to this embodiment, it is possible to update the weights given to the map indicating the recommendation level of each mesh so that the user's intentions and needs are reflected in more detail.

[0066] 4. In the above-mentioned information processing device (e.g., 2), The determination unit (e.g., 225) is characterized in that it determines the evaluation value of the location for installing the station so that the evaluation value of the mesh not selected as a good or bad candidate by the user (e.g., 4) is lower than the evaluation value of the mesh selected as a good candidate by the user, and higher than the evaluation value of the mesh selected as a bad candidate by the user.

[0067] According to this embodiment, it is possible to update the weights given to the map indicating the recommendation level of each mesh so that the user's intentions and needs are reflected in more detail.

[0068] 5. In the above-mentioned information processing device (for example, 2), The presentation unit (e.g., 224) presents to the terminal (e.g., 3) the goodness or badness of each of the predetermined number of meshes as the candidate in a selectable manner, The determination unit (e.g., 225) is characterized in that it determines the evaluation value of the location for installing the station so that the evaluation value of the first mesh selected as a good candidate by the user (e.g., 4) and the evaluation value of the adjacent mesh adjacent to the first mesh are higher than the evaluation values ​​of meshes that are more than a predetermined distance away from the first mesh.

[0069] According to this embodiment, it is possible to update the weights given to the map indicating the recommendation level of each mesh so that the user's intentions and needs are reflected in more detail.

[0070] 6. In the above-mentioned information processing device (for example, 2), The determination unit (e.g., 225) determines the evaluation value of the location for installing the station so that the evaluation value of the second mesh selected as a candidate by the user (e.g., 4) and the evaluation value of the adjacent mesh adjacent to the second mesh are lower than the evaluation values ​​of meshes that are more than a predetermined distance away from the second mesh.

[0071] According to this embodiment, it is possible to update the weights given to the map indicating the recommendation level of each mesh so that the user's intentions and needs are reflected in more detail.

[0072] 7. In the above-mentioned information processing device (for example, 2), The first generation unit (e.g., 222) generates a plurality of composite maps while randomly changing the first weight and the second weight; The extraction unit (e.g., 223) extracts a predetermined number of meshes from the plurality of composite maps in descending order of the recommendation level, The presentation unit (e.g., 224) sequentially presents to the terminal (e.g., 3) a selection of arrangements in which each of the predetermined number of meshes is the candidate for each of the plurality of composite maps; The determination unit (e.g., 225) determines the evaluation value as a location for installing the station so that the evaluation value of the mesh corresponding to the candidate in the layout selected by the user (e.g., 4) is higher than the evaluation value of the mesh corresponding to the candidate in the layout not selected by the user. It is characterized by:

[0073] According to this embodiment, it is possible to update the weights given to the map indicating the recommendation level of each mesh so that the user's intentions and needs are reflected in more detail.

[0074] 8. In the above-mentioned information processing device (for example, 2), The update unit (e.g., 226) updating the first weight so that the updated first weight is greater than the first weight before the update when the correlation between the evaluation value and the first feature indicates a positive correlation; updating the first weight so that the updated first weight is smaller than the first weight before updating when the correlation between the evaluation value and the first feature indicates a negative correlation; updating the second weights so that the updated second weights are greater than the second weights before updating when the correlation between the evaluation values ​​and the second features indicates a positive correlation; If the correlation between the evaluation value and the second feature indicates a negative correlation, updating the second weight so that the updated second weight is smaller than the second weight before the update. It is characterized by:

[0075] According to this embodiment, it is possible to update the weights given to the map indicating the recommendation level of each mesh so that the user's intentions and needs are reflected in more detail.

[0076] 9. In the above-mentioned information processing device (for example, 2), The update unit (e.g., 226) updates the first weight and the second weight so that the degree of change between the weight before the update and the weight after the update corresponds to the strength of the correlation.

[0077] According to this embodiment, it is possible to update the weights given to the map indicating the recommendation level of each mesh so that the user's intentions and needs are reflected in more detail.

[0078] 10. In the above-mentioned information processing device (for example, 2), The update unit (e.g., 226) updates the first weight and the second weight by optimizing the first weight and the second weight using machine learning or a linear programming problem based on the evaluation value.

[0079] According to this embodiment, it is possible to update the weights given to the map indicating the recommendation level of each mesh so that the user's intentions and needs are reflected in more detail.

[0080] 11. In the above-mentioned information processing device (for example, 2), The characteristics include the demand level of the station in each of the plurality of meshes, the land price in each of the plurality of meshes, the population in each of the plurality of meshes, the number of electric products in each of the plurality of meshes, and the number of commercial facilities in each of the plurality of meshes.

[0081] 12. The information processing device of the above embodiment An information processing device (for example, 2) that provides a recommended installation location map indicating recommended locations for installing stations for charging and replacing batteries detachably mounted on an electric product, a presentation unit (e.g., 224) that presents candidate locations for installing the station based on a composite map (e.g., CM) that combines a first map (e.g., IM1) generated from first position data relating to the respective positions of a plurality of meshes that divide a predetermined area in which the station can be installed, with a map (e.g., WIM2) that combines a second map (e.g., IM2) generated from second position data different from the first position data and a second weight (e.g., Wb) different from the first weight; an update unit (e.g., 226) that updates the first weight and the second weight in response to a selection of the candidate by a user (e.g., 4); a generating unit (e.g., 227) that generates the recommended installation location map by combining a map in which the first map is given the updated first weight and a map in which the second map is given the updated second weight; The present invention is characterized by having the following:

[0082] According to this embodiment, it is possible to provide the user with a map of recommended installation locations showing recommended locations for installing useful stations.

[0083] 13. The information processing method of the above embodiment is An information processing method for providing a recommended installation location map showing recommended locations for installing stations for charging and replacing batteries detachably mounted on an electric product, comprising: A step of acquiring first position data and second position data that indicate different characteristics relating to the position of each of a plurality of meshes obtained by dividing a predetermined area in which the station can be installed; a step of generating a composite map indicating a recommendation level for recommending installation of the station for each of the plurality of meshes by combining a first weight assigned to a first map generated from a first feature indicated by the first position data and a second weight assigned to a second map generated from a second feature indicated by the second position data, the second weight being different from the first weight; extracting a predetermined number of meshes in descending order of the recommendation level based on the composite map; Presenting each of the predetermined number of meshes to a terminal associated with a user as a candidate location for installing the station; determining an evaluation value for each of the predetermined number of meshes as a location for installing the station in accordance with the selection of the candidate by the user; updating the first weight and the second weight based on a correlation between the evaluation value and the first feature and a correlation between the evaluation value and the second feature; a step of generating the recommended installation location map by combining a map in which the first map is given the updated first weight and a map in which the second map is given the updated second weight; The present invention is characterized by having the following:

[0084] According to this embodiment, it is possible to provide the user with a map of recommended installation locations showing recommended locations for installing useful stations.

[0085] 14. The system of the above embodiment A system (e.g., 1) having an information processing device (e.g., 2) that provides a map of recommended installation locations indicating recommended locations for installing stations for charging and replacing batteries detachably mounted on electric products, and a terminal (e.g., 3) associated with a user (e.g., 4), The information processing device includes: An acquisition unit (e.g., 221) that acquires first position data and second position data that indicate different characteristics related to the position of each of a plurality of meshes obtained by dividing a predetermined area in which the station can be installed, and a first generating unit (e.g., 222) that generates a composite map (e.g., CM) indicating the degree of recommendation for recommending the installation of each of the stations in the plurality of meshes by combining a map in which a first weight (e.g., Wa) is assigned to a first map (e.g., IM1) generated from a first feature indicated by the first position data and a map in which a second weight (e.g., Wb) different from the first weight is assigned to a second map (e.g., IM2) generated from a second feature indicated by the second position data; an extraction unit (e.g., 223) that extracts a predetermined number of meshes (e.g., MS1, MS2, MS3) in descending order of the recommendation level based on the synthesis map; A presentation unit (e.g., 224) that presents each of the predetermined number of meshes as a candidate location (e.g., CDA, CDB, CDC) for installing the station to a terminal (e.g., 3) associated with a user (e.g., 4); A determination unit (e.g., 225) that determines an evaluation value as a location for installing the station for each of the predetermined number of meshes in accordance with the user's selection of the candidate; an update unit (e.g., 226) that updates the first weight and the second weight based on a correlation between the evaluation value and the first feature and a correlation between the evaluation value and the second feature; a second generation unit (e.g., 227) that generates the recommended installation location map by combining a map in which the first map is given the updated first weight (e.g., Wa') with a map in which the second map is given the updated second weight (e.g., Wb'); The present invention is characterized by having the following:

[0086] According to this embodiment, it is possible to provide the user with a map of recommended installation locations showing recommended locations for installing useful stations.

[0087] 15. In the above system (e.g., 1), The terminal (for example, 3) is characterized by having a display unit (for example, 34) that displays the candidates presented by the presentation unit (for example, 224) as images.

[0088] According to this embodiment, the user can easily recognize (understand) the candidate locations for installing the station via the terminal 3, and can easily select the candidate location for installing the station.

[0089] 16. The program of the above embodiment is The above-described information processing method is executed by a computer.

[0090] According to this embodiment, it is possible to provide the user with a map of recommended installation locations showing recommended locations for installing useful stations.

[0091] The invention is not limited to the above-described embodiment, and various modifications and variations are possible within the scope of the gist of the invention. [Explanation of symbols]

[0092] 1: System 2: Information processing device 3: Terminal 22: Processing unit 221: Acquisition unit 222: First generation unit 223: Extraction unit 224: Presentation unit 225: Decision unit 226: Update unit 227: Second generation unit

Claims

1. An information processing device that provides a recommended installation location map showing recommended locations for installing stations for charging and replacing batteries that are detachably mounted on electric products, an acquisition unit that acquires, for each of a plurality of meshes obtained by dividing a predetermined area in which the station can be installed, first position data and second position data that indicate mutually different characteristics related to the position of the mesh; a first generating unit that generates a composite map indicating a recommendation level for recommending installation of the station in each of the plurality of meshes by combining a first weight assigned to a first map generated from a first feature indicated by the first position data and a second weight assigned to a second map generated from a second feature indicated by the second position data, the second weight being different from the first weight; an extraction unit that extracts a predetermined number of meshes in descending order of the recommendation level based on the synthesis map; A presentation unit that presents each of the predetermined number of meshes to a terminal associated with a user as a candidate location for installing the station; A determination unit that determines an evaluation value for each of the predetermined number of meshes as a location to install the station in accordance with the selection of the candidate by the user; an updating unit that updates the first weight and the second weight based on a correlation between the evaluation value and the first feature and a correlation between the evaluation value and the second feature; a second generation unit that generates the recommended installation location map by combining a map in which the first map is given the updated first weight and a map in which the second map is given the updated second weight; An information processing device comprising:

2. The presentation unit presents each of the predetermined number of meshes to the terminal so that the meshes can be selected as the candidates; The information processing device according to claim 1, characterized in that the determination unit determines the evaluation value as a location for installing the station so that the evaluation value of the mesh selected as the candidate by the user is higher than the evaluation value of the mesh not selected as the candidate by the user.

3. The presentation unit presents on the terminal a selection of whether each of the predetermined number of meshes is good or bad as a candidate, The information processing device according to claim 1, characterized in that the determination unit determines the evaluation value of the location for installing the station so that the evaluation value of the mesh selected by the user as a good candidate is higher than the evaluation value of the mesh selected by the user as a bad candidate.

4. The information processing device described in claim 3, characterized in that the determination unit determines the evaluation value as a location to install the station so that the evaluation value of a mesh not selected by the user as a good or bad candidate is lower than the evaluation value of a mesh selected by the user as a good candidate, and higher than the evaluation value of a mesh selected by the user as a bad candidate.

5. The presentation unit presents on the terminal a selection of whether each of the predetermined number of meshes is good or bad as a candidate, The information processing device described in claim 1, characterized in that the determination unit determines the evaluation value as a location to install the station so that the evaluation value of the first mesh selected by the user as a good candidate and the evaluation value of adjacent meshes adjacent to the first mesh are higher than the evaluation values ​​of meshes that are more than a predetermined distance away from the first mesh.

6. The information processing device described in claim 5, characterized in that the determination unit determines the evaluation value as a location to install the station so that the evaluation value of the second mesh selected by the user as the candidate and the evaluation value of adjacent meshes adjacent to the second mesh are lower than the evaluation values ​​of meshes that are more than a predetermined distance away from the second mesh.

7. the first generation unit generates a plurality of composite maps while randomly changing the first weight and the second weight; the extraction unit extracts a predetermined number of meshes from each of the plurality of composite maps in descending order of the recommendation level; the presentation unit sequentially presents, on the terminal, a selection of layouts in which each of the predetermined number of meshes is a candidate for each of the plurality of composite maps; The determination unit determines an evaluation value as a location for installing the station so that an evaluation value of a mesh corresponding to the candidate in the layout selected by the user is higher than an evaluation value of a mesh corresponding to the candidate in the layout not selected by the user.

2. The information processing apparatus according to claim 1, wherein:

8. The update unit updating the first weight so that the updated first weight is greater than the first weight before the update when the correlation between the evaluation value and the first feature indicates a positive correlation; updating the first weight so that the updated first weight is smaller than the first weight before the update when the correlation between the evaluation value and the first feature indicates a negative correlation; updating the second weight so that the updated second weight is greater than the second weight before the update when the correlation between the evaluation value and the second feature indicates a positive correlation; If the correlation between the evaluation value and the second feature indicates a negative correlation, the second weight is updated so that the updated second weight is smaller than the second weight before the update.

2. The information processing apparatus according to claim 1, wherein:

9. 9. The information processing device according to claim 8, wherein the update unit updates the first weight and the second weight so that a degree of change between the weight before the update and the weight after the update corresponds to the strength of the correlation.

10. 2. The information processing device according to claim 1, wherein the update unit updates the first weights and the second weights by optimizing the first weights and the second weights using machine learning or a linear programming problem based on the evaluation value.

11. 2. The information processing device according to claim 1, wherein the features include the demand level of the station in each of the plurality of meshes, the land price in each of the plurality of meshes, the population in each of the plurality of meshes, the number of electric products in each of the plurality of meshes, and the number of commercial facilities in each of the plurality of meshes.

12. An information processing device that provides a recommended installation location map showing recommended locations for installing stations for charging and replacing batteries that are detachably mounted on electric products, a presentation unit that presents candidate locations for installing the station based on a composite map obtained by combining a first map generated from first position data relating to the positions of each of a plurality of meshes that divide a predetermined area in which the station can be installed, and a second map generated from second position data different from the first position data, and a second weight different from the first weight; an update unit that updates the first weight and the second weight in response to a user's selection of the candidate; a generating unit that generates the recommended installation location map by combining a map in which the first map is given the updated first weight and a map in which the second map is given the updated second weight; An information processing device comprising:

13. An information processing method for providing a recommended installation location map showing recommended locations for installing stations for charging and replacing batteries detachably mounted on an electric product, comprising: a step of acquiring, for each of a plurality of meshes obtained by dividing a predetermined area in which the station can be installed, first position data and second position data that indicate different characteristics relating to the position of the mesh; a step of generating a composite map indicating a recommendation level for recommending the installation of the station in each of the plurality of meshes by combining a first weight assigned to a first map generated from a first feature indicated by the first position data and a second weight assigned to a second map generated from a second feature indicated by the second position data, the second weight being different from the first weight; extracting a predetermined number of meshes in descending order of the recommendation level based on the composite map; Presenting each of the predetermined number of meshes to a terminal associated with a user as a candidate location for installing the station; determining an evaluation value for each of the predetermined number of meshes as a location for installing the station in accordance with the selection of the candidate by the user; updating the first weight and the second weight based on a correlation between the evaluation value and the first feature and a correlation between the evaluation value and the second feature; generating the recommended installation location map by combining a map in which the first map is given the updated first weight and a map in which the second map is given the updated second weight; An information processing method comprising:

14. A system including an information processing device that provides a map of recommended installation locations indicating recommended locations for installing stations for charging and replacing batteries detachably mounted on electric products, and a terminal associated with a user, The information processing device includes: an acquisition unit that acquires, for each of a plurality of meshes obtained by dividing a predetermined area in which the station can be installed, first position data and second position data that indicate mutually different characteristics related to the position of the mesh; a first generating unit that generates a composite map indicating a recommendation level for recommending installation of the station in each of the plurality of meshes by combining a first weight assigned to a first map generated from a first feature indicated by the first position data and a second weight assigned to a second map generated from a second feature indicated by the second position data, the second weight being different from the first weight; an extraction unit that extracts a predetermined number of meshes in descending order of the recommendation level based on the synthesis map; A presentation unit that presents each of the predetermined number of meshes to a terminal associated with a user as a candidate location for installing the station; A determination unit that determines an evaluation value for each of the predetermined number of meshes as a location to install the station in accordance with the selection of the candidate by the user; an updating unit that updates the first weight and the second weight based on a correlation between the evaluation value and the first feature and a correlation between the evaluation value and the second feature; a second generation unit that generates the recommended installation location map by combining a map in which the first map is given the updated first weight and a map in which the second map is given the updated second weight; A system comprising:

15. 15. The system according to claim 14, wherein the terminal has a display unit that displays the candidates presented by the presentation unit as images.

16. A program for causing a computer to execute the information processing method according to claim 13.

Images