Information processing device, evaluation method, and evaluation program

Abstract

The challenge is to provide information that allows users to evaluate the customer base. [Solution] The information processing device includes an acquisition unit that acquires battery-specific information of batteries installed in slots of a station capable of mounting and charging multiple batteries, a determination unit that performs a genuineness determination of whether the battery is genuine or not based on the battery-specific information of the battery, an evaluation unit that evaluates the user who brought the battery to the charging facility based on the result of the genuineness determination of the battery, and an output unit that outputs the evaluation of the user by the evaluation unit.

Description

Technical Field

[0001] The present invention relates to an information processing apparatus, an evaluation method, and an evaluation program.

Background Art

[0002] From the aspect of achieving carbon neutrality, electric vehicles (so-called xEVs) driven by motors powered by electricity are becoming popular. Along with the spread of such xEVs, efforts are also being made to realize battery sharing services by making the batteries of xEVs replaceable through the provision of charging facilities for replacing batteries with reduced charge levels and fully charged batteries.

[0003] For example, the above battery sharing service is provided through a system that performs user authentication, fee settlement, etc. using cards such as charging cards or charging authentication cards. Through the use of such charging cards, etc., user management such as the amount and frequency of use of the above battery sharing service by users may be performed.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Patent Document 2

Patent Document 3

Patent Document 4

Patent Document 5

Patent Document 6

Summary of the Invention

[0005] However, the above user management system has a drawback: it makes it difficult for businesses that provide or plan to provide the above charging facilities to provide information that allows them to evaluate the customer base of their users. Here, "customer base" refers to the tendencies of users who use the above charging facilities, and may include, for example, the quality of customers in terms of morality and integrity. For example, even if a user spends a lot of money or uses the above battery sharing service frequently, it does not necessarily mean that the customer base of that user is good. This is because even if a user spends a lot of money or uses the above battery sharing service frequently, if they bring non-genuine batteries, which pose a higher risk of accidents such as fire or explosion compared to genuine batteries, to battery exchange stations, they lack morality and integrity.

[0006] The present invention aims to provide information that allows users to evaluate the customer base of their users. [Means for solving the problem]

[0007] An information processing device according to one aspect of the present invention includes: an acquisition unit that acquires battery-specific information of a battery installed in a slot of a charging device capable of mounting and charging multiple batteries; a determination unit that performs a genuineness determination of whether the battery is genuine or not based on a comparison of the battery-specific information of the battery with the battery-specific information of a genuine battery; an evaluation unit that evaluates the user who brought the battery to the charging device based on the result of the genuineness determination of the battery; and an output unit that outputs the evaluation of the user by the evaluation unit, wherein the evaluation unit evaluates the frequency with which the battery is determined to be genuine.

[0008] An information processing device according to one aspect of the present invention includes: an acquisition unit that acquires battery-specific information of a battery installed in a slot of a charging device capable of mounting and charging multiple batteries; a determination unit that performs a genuine determination of whether the battery is genuine or not based on a comparison of the battery-specific information of the battery with the battery-specific information of a genuine battery; an evaluation unit that evaluates the user who brought the battery to the charging device based on the result of the genuine determination of the battery; and an output unit that outputs the evaluation of the user by the evaluation unit, wherein the evaluation unit evaluates the frequency with which the battery is determined to be a counterfeit product that is not the genuine product.

[0009] In an evaluation method according to one aspect of the present invention, a computer performs the following processes: acquires battery-specific information of a battery installed in a slot of a charging device capable of mounting and charging multiple batteries; performs a genuineness determination of whether the battery is genuine or not based on a comparison of the battery-specific information of the battery with the battery-specific information of a genuine battery; evaluates the user who brought the battery to the charging device based on the result of the genuineness determination of the battery; and outputs the evaluation of the user. The evaluation process evaluates the frequency with which the battery is determined to be genuine.

[0010] An evaluation program according to one aspect of the present invention involves a computer executing a process to acquire battery-specific information of a battery installed in a slot of a charging device capable of mounting and charging multiple batteries, perform a genuineness determination of whether the battery is genuine or not based on a comparison of the battery-specific information of the battery with the battery-specific information of a genuine battery, evaluate the user who brought the battery to the charging device based on the result of the genuineness determination of the battery, and output the evaluation of the user, wherein the evaluation process evaluates the frequency with which the battery is determined to be genuine.

[0011] In an evaluation method according to one aspect of the present invention, a computer performs the following processes: acquires battery-specific information of a battery installed in a slot of a charging device capable of mounting and charging multiple batteries; performs a genuineness determination of whether the battery is genuine or not based on a comparison of the battery-specific information of the battery with the battery-specific information of a genuine battery; evaluates the user who brought the battery to the charging device based on the result of the genuineness determination of the battery; and outputs the evaluation of the user. The evaluation process evaluates the frequency with which the battery is determined to be a counterfeit product that is not a genuine product.

[0012] An evaluation program according to one aspect of the present invention involves a computer executing a process to acquire battery-specific information of a battery installed in a slot of a charging device capable of mounting and charging multiple batteries, perform a genuineness determination of whether the battery is genuine or not based on a comparison of the battery-specific information of the battery with the battery-specific information of a genuine battery, evaluate the user who brought the battery to the charging device based on the result of the genuineness determination of the battery, and output the evaluation of the user, wherein the evaluation process evaluates the frequency with which the battery is determined to be a counterfeit product that is not the genuine product. [Effects of the Invention]

[0013] According to one embodiment, it is possible to provide information that allows for the evaluation of the user's customer base. [Brief explanation of the drawing]

[0014] [Figure 1] Figure 1 shows an example configuration of a battery sharing system. [Figure 2] Figure 2 is a schematic diagram illustrating an example of battery replacement. [Figure 3] Figure 3 illustrates one aspect of a problem-solving approach. [Figure 4] Figure 4 is a block diagram showing an example of the functional configuration of a server device. [Figure 5] Figure 5 is a schematic diagram showing an example of updating evaluation information. [Figure 6]FIG. 6 is a schematic diagram showing an example of updating evaluation information. [Figure 7] FIG. 7 is a diagram showing an example of display on a client terminal. [Figure 8] FIG. 8 is a diagram showing an example of display on a client terminal. [Figure 9] FIG. 9 is a diagram showing an example of display on a client terminal. [Figure 10] FIG. 10 is a diagram showing an example of display on a client terminal. [Figure 11] FIG. 11 is a flowchart showing the procedure of user evaluation processing. [Figure 12] FIG. 12 is a diagram showing an example of hardware configuration.

Mode for Carrying Out the Invention

[0015] Hereinafter, embodiments for implementing an information processing apparatus, an evaluation method, and an evaluation program according to the present application (hereinafter referred to as "embodiments") will be described with reference to the accompanying drawings. Each embodiment is merely an example or an aspect, and numerical values, function ranges, usage scenarios, etc. are not limited by such examples. And each embodiment can be adaptively combined within a range that does not conflict with the processing content.

[0016] <Overall Configuration> FIG. 1 is a diagram showing a configuration example of a battery sharing system. The battery sharing system 1 shown in FIG. 1 provides a battery sharing service that realizes battery sharing by making the battery of an xEV or the like replaceable. Note that, as an example of the usage scenario of the battery, an xEV is taken as an example, but the battery is not limited to vehicles, and may be mounted on all load equipment such as construction machines, agricultural machines, and home appliances.

[0017] The term "battery" as used here may refer to secondary batteries such as lithium-ion batteries or battery packs made of such batteries. For example, "battery" may refer to a single "cell," a battery pack made of multiple cells, or a battery pack made of multiple modules.

[0018] As shown in Figure 1, the battery sharing system 1 may include a server device 10, stations 30A to 30M, and client terminals 50A to 50N. Hereafter, when it is not necessary to distinguish between individual stations 30A to 30M, stations 30A to 30M may be referred to as "station 30." Similarly, when it is not necessary to distinguish between individual client terminals 50A to 50N, client terminals 50A to 50N may be referred to as "client terminal 50."

[0019] These server devices 10, stations 30, and client terminals 50 may be connected to each other via any network NW. The network NW may be wired or wireless, and may be implemented using any technology such as internet technology, industrial communication standards, or low-power wireless communication standards for IoT (Internet of Things).

[0020] Server device 10 is an example of an information processing device that provides the battery sharing service described above. For example, server device 10 can be implemented as a PaaS (Platform as a Service) or SaaS (Software as a Service) application to provide the battery sharing service as a cloud service. Alternatively, server device 10 may be implemented as a server that provides the battery sharing function for realizing the battery sharing service on-premises.

[0021] Such battery sharing services may include a user evaluation function as part of providing information to businesses that provide or plan to provide the above-mentioned charging facilities, which can be used to evaluate users of the battery sharing service.

[0022] Station 30 corresponds to an example of a charging facility that performs the exchange of low-charge batteries and fully charged batteries. Station 30 has multiple slots from which batteries can be inserted and removed. In such a station 30, it is possible to charge batteries installed in empty slots and to remove fully charged batteries from the charged slots.

[0023] The client terminal 50 is a terminal device used by clients who receive the user evaluation function described above. The term "client" here may include, for example, businesses that provide the charging equipment described above or businesses that plan to provide the charging equipment described above. The service provider may be a provider directly operated by the battery manufacturer, or it may be a provider operated by a third party. For example, the client terminal 50 may be implemented using any computer, including personal computers, smartphones, tablet devices, and wearable devices.

[0024] <Battery Replacement> Figure 2 is a schematic diagram showing an example of battery replacement. As shown in Figure 2, at station 30, the identification information of the user using the battery sharing service, such as the user ID (IDentification), is read (step S1).

[0025] For example, when a user brings their IC (Integrated Circuit) card 2 close to the information reading unit 31 of the station 30, the user ID recorded on the IC card 2 is read by the information reading unit 31.

[0026] In this way, the user ID read by the information reading unit 31 is used to perform user authentication to determine whether the user is a legitimate user who has been pre-registered, as well as to process payment for using the battery sharing service.

[0027] Subsequently, the battery 3, which was removed from an EV or other vehicle, is returned by installing it in one of the empty slots on the station 30 that does not currently have a battery installed (step S2).

[0028] When such batteries 3 are returned, the display unit associated with each slot, such as a lamp, can display a different display format for empty slots and other slots.

[0029] After battery 3 is returned, it is removed from one of the multiple slots available in station 30 that is already charged (step S3). Note that "charged" may refer to a fully charged state, but it does not necessarily have to be fully charged. For example, a slot in which a battery with a State of Charge (SOC) of 95% or higher is installed may be identified as a charged slot.

[0030] The battery 3, removed from the charged slot, is then installed in the user's vehicle. These operations from step S1 to step S3 enable the replacement of the battery 3.

[0031] Please note that Figure 2 shows an example of a pre-registered user performing a battery replacement; however, this does not, of course, prevent new users from performing battery replacements.

[0032] <Battery-specific information> While xEVs are becoming more widespread, there is also a growing trend of counterfeit batteries circulating in the market, in addition to genuine batteries manufactured by manufacturers. For example, some counterfeit batteries not only mimic the appearance of genuine modules or battery packs, but also the QR code that links to management information such as the Battery Passport, which manages the battery's lifecycle from material procurement to recycling.

[0033] From this perspective, the server device 10 according to this embodiment performs a genuineness determination to determine whether the battery is genuine or not when the battery is replaced. For example, the above genuineness determination can be performed by using the battery-specific information of a genuine battery as a reference and comparing the battery-specific information of the reference with the battery-specific information measured from the battery to be identified.

[0034] Here, "battery-specific information" refers to information that can uniquely identify each individual battery. For example, a battery ID that can uniquely identify a battery can be used as an example of battery-specific information. The battery ID may be attached to the battery as a barcode, or it may be recorded on an IC chip and the IC chip attached to the battery. In this case, when replacing a battery, the battery ID can be read, and the authenticity of the battery can be determined by comparing the read battery ID with a list of genuine battery IDs.

[0035] Furthermore, as an example of battery-specific information, the battery's characteristics can be used (see Patent Document 4). In this case, the battery characteristics are managed in association with the battery's ID, and when a battery is replaced, the battery characteristics and ID of that battery are obtained and compared with the battery characteristics of a reference linked to the ID to determine authenticity.

[0036] Furthermore, as an example of battery-specific information, the inductance of the battery can be used (see Patent Document 5). In this case, a specific current is applied to the target battery, the voltage response of the target battery to the applied current is measured, and the inductance value of the target battery is calculated based on the applied current value and the measured voltage value. Then, the authenticity of the target battery can be determined using the specified inductance value according to the type of target battery and the inductance value of the target battery calculated earlier.

[0037] Furthermore, as an example of battery-specific information, the magnetic field characteristics of the battery can be used (see Patent Document 6). In this case, a predetermined value for the magnetic field characteristics according to the type of battery is stored in advance. Then, when replacing a battery, a magnetic field is generated by applying a specific current to the battery, and the magnetic field characteristics of the generated magnetic field are measured. The server device 10 can determine the authenticity of the battery by comparing the measured magnetic field characteristics with the predetermined value stored in advance.

[0038] In this way, the server device 10 can perform a genuineness determination to determine whether a battery is genuine or not using arbitrary battery-specific information.

[0039] Furthermore, the server device 10 of this embodiment may perform authenticity determination using any one of the battery-specific information described above, or it may perform authenticity determination using a combination of two or more battery-specific information. Performing authenticity determination using two or more battery-specific information improves the accuracy of the authenticity determination.

[0040] <One aspect of the problem> As explained in the background technology section above, the above user management has a drawback in that it makes it difficult for the service provider of the battery sharing service to provide information that allows them to evaluate the customer base of their users. For example, even if a user spends a lot of money or uses the battery sharing service frequently, it does not necessarily mean that the customer base of that user is good. This is because even if a user spends a lot of money or uses the battery sharing service frequently, if they bring non-genuine batteries, which pose a higher risk of accidents such as fire or explosion compared to genuine batteries, to battery exchange stations, they lack morals and integrity.

[0041] <One aspect of a problem-solving approach> Therefore, the server device 10 according to this embodiment provides a user evaluation function that evaluates the user based on the results of the authenticity determination of the battery 3 that the user brings to the station 30.

[0042] Figure 3 shows one aspect of the problem-solving approach. As shown in Figure 3, the server device 10 acquires battery-specific information of the battery 3 installed in the slot of the station 30 (1). Then, the server device 10 performs a genuineness determination to determine whether the battery 3 is genuine or not based on the battery-specific information of the battery 3 brought in by the user (2). Hereafter, the battery brought in by the user may be referred to as the "brought-in battery". Subsequently, the server device 10 evaluates the user based on the result of the genuineness determination of the user's brought-in battery 3 (3).

[0043] Here, as an example of the user evaluation mentioned above, various evaluation values ​​can be calculated based on the results of the authenticity determination. As an example of such evaluation values, the probability that battery 3 brought by a user to station 30 will be determined to be genuine can be calculated as the genuine product rate. As another example, the probability that battery 3 brought by a user to station 30 will be determined to be counterfeit can be calculated as the counterfeit product rate.

[0044] The server device 10 then stores the user evaluation obtained in (3) as evaluation information 13C, and in response to requests from the client terminal 50, outputs the user evaluation stored in the evaluation information 13C to the client terminal 50 (4).

[0045] For example, in the example shown in Figure 3 (4.1), individual evaluations are output that include the genuine product rate and counterfeit product rate for User A, and the genuine product rate and counterfeit product rate for User B. This allows for the following relative evaluation between User A and User B: that is, if User A's genuine product rate > User B's genuine product rate, or User A's counterfeit product rate < User B's counterfeit product rate, customer analysis can be performed to conclude that User A is a better customer than User B. This allows for measures to be taken to give User A preferential treatment over User B in terms of fees and the return of valuable points.

[0046] Furthermore, in the example shown in Figure 3 (4.2), in addition to the genuine product rate and counterfeit product rate for users A to C, a group evaluation is output that includes the average genuine product rate and counterfeit product rate for all users belonging to a given station 30. This makes it possible to evaluate the customer base of users who use station 30. In other words, since the average genuine product rate for all users is high at "99%" while the average counterfeit product rate for all users is low at "1%", it is possible to conduct a market analysis that indicates that the customer base of users using station 30 is good. From one perspective, from the viewpoint of the operator of station 30, it is possible to provide information that contributes to the evaluation of operational performance. From another perspective, from the viewpoint of an operator considering opening a new station or adding another station, it is possible to provide information that increases the motivation to open a new station or add another station in the same area as station 30. Furthermore, it is possible to provide information in conjunction with national and local government subsidy programs related to opening a new station or adding another station.

[0047] Therefore, the user evaluation function according to this embodiment makes it possible to provide information that can evaluate the user's customer base. Furthermore, since calculations related to user evaluation can be performed without using complex algorithms, the computational cost related to user evaluation can also be reduced.

[0048] In the following example, the user evaluation function described above is packaged as a feature of the battery sharing service, but it may also be provided as a separate service from the battery sharing service.

[0049] <Configuration of Server Device 10> Next, an example of the functional configuration of the server device 10 according to this embodiment will be described. Figure 4 is a block diagram showing an example of the functional configuration of the server device 10. Figure 4 schematically shows the blocks related to the battery sharing service that the server device 10 has.

[0050] As shown in Figure 4, the server device 10 includes a communication control unit 11, a storage unit 13, and a control unit 15. Note that Figure 4 only shows a selection of the functions related to the battery sharing service described above, and the server device 10 may also be equipped with functions other than those shown.

[0051] The communication control unit 11 is a functional unit that controls communication with other devices such as the station 30 and the client terminal 50. As an example, the communication control unit 11 can be implemented using a network interface card. In one aspect, the communication control unit 11 can receive user IDs and battery-specific information for battery 3 from the station 30, and output to the station 30 whether or not battery replacement is permitted. In another aspect, the communication control unit 11 can receive requests from the client terminal 50 to output user evaluations and output user evaluations to the client terminal 50.

[0052] The storage unit 13 is a functional unit that stores various types of data. As an example, the storage unit 13 can be implemented using internal, external, or auxiliary storage within the server device 10. For instance, the storage unit 13 stores user information 13A, reference information 13B, and evaluation information 13C. The user information 13A, reference information 13B, and evaluation information 13C will be explained in conjunction with the descriptions of their reference, generation, or registration processes.

[0053] The control unit 15 is a functional unit that performs overall control of the server device 10. For example, the control unit 15 can be implemented by a hardware processor. As shown in Figure 4, the control unit 15 has a supply unit 15A, a determination unit 15B, an evaluation unit 15C, a reception unit 15D, and an output unit 15E. The control unit 15 may also be implemented by hardwired logic or the like.

[0054] The provisioning unit 15A is a processing unit that provides the above-mentioned battery sharing service. For example, the provisioning unit 15A may correspond to an example of an acquisition unit. In one aspect, when the provisioning unit 15A receives a user ID from the station 30, it performs user authentication by referring to the user information 13A stored in the storage unit 13. Here, the user information 13A may be a collection of data to which various information, including payment information such as credit card or electronic money, is associated with each user ID. For example, the above-mentioned user authentication may be achieved by comparing the user ID registered in the user information 13A with the user ID received from the station 30 and determining whether or not the user is a legitimate user whose user ID is registered in the user information 13A.

[0055] If user authentication is successful, the supply unit 15A outputs an instruction to the station 30 to install a battery into an empty slot. When the user's battery is installed in an empty slot on the station 30, the supply unit 15A acquires the battery's unique information measured by the measurement unit 33 on the station 30. If information other than the battery ID is used as the battery's unique information, the supply unit 15A may acquire the battery ID of the user's battery along with the unique information. For example, the battery ID recorded on the IC chip installed in the battery may be acquired. Alternatively, the battery ID of the battery last removed by the user from a charged slot may be considered as the battery ID of the battery installed in an empty slot on the station 30 and acquired. In this case, the user information 13A may store as a history time series data for each user ID of the battery IDs of batteries removed by the user from charged slots and batteries installed by the user in empty slots. Such time series data may include the time when the battery was removed from a charged slot or installed in an empty slot, and the station identification information (station ID). Under this battery ID management system, if a battery is installed in an empty slot, the battery ID of the battery last removed by the user from a charged slot, from the history of battery IDs corresponding to the user ID that successfully authenticated the user, may be considered as the battery ID of the battery installed in the empty slot of Station 30 and obtained. The battery ID and battery-specific information of the battery obtained in this way are output to the determination unit 15B, which performs a genuineness determination to determine whether the battery is genuine or not.

[0056] In addition to user authentication, the service provider 15A can also process payments for battery replacements. For example, if a user subscribes to a pay-per-use service, the service provider 15A can process the charge for the pay-per-use service using the payment information corresponding to the user ID each time the user ID is obtained from the station 30. Furthermore, if a user subscribes to a recurring billing service, such as a periodic billing or pay-per-use service, where charges begin after subscribing and payments continue until the user cancels their subscription, the service provider 15A can perform the following processes. For example, in the case of a periodic billing service, the service provider 15A checks whether payment has been completed up to the billing date corresponding to the time the user ID was obtained from the station 30. In the case of pay-per-use, the service provider 15A checks whether payment has been completed for the cumulative charge amount at the time the user ID was obtained from the station 30. If payment has been completed, the service provider 15A determines that the payment is OK. Furthermore, even if payment of the fee has not been completed, the service unit 15A will attempt to settle the fee, and if the payment is successful, it will determine that the payment is OK.

[0057] As a further aspect, the supply unit 15A can also output permission or denial of battery replacement depending on the authenticity determination result by the judgment unit 15B described later. Here is an example of how battery replacement permission or denial can be operated. For example, if a battery installed in an empty slot is determined to be genuine, the supply unit 15A notifies station 30 of permission to replace the battery. At station 30, which has received this permission, removal of the battery from the charged slot is permitted. On the other hand, if a battery installed in an empty slot is determined to be counterfeit, the supply unit 15A notifies station 30 of denial of battery replacement. At station 30, which has received this denial of replacement, removal of the battery from the charged slot is prohibited. Here, as an example of operation, an example of immediate prohibition when a counterfeit product is determined to be counterfeit has been given, but it is not limited to this. For example, the number of times a user brings in a counterfeit battery can be accumulated and recorded in relation to the user ID, and countermeasures such as caution, warning, or prohibition can be taken when the accumulated value exceeds a threshold.

[0058] The determination unit 15B is a processing unit that performs a determination of whether the battery is genuine or not. In one embodiment, the determination unit 15B performs the above-mentioned determination of genuine or counterfeit by comparing the battery-specific information of the user's battery brought in by the supply unit 15A with the battery-specific information of a genuine battery registered as a reference in the reference information 13B stored in the storage unit 13.

[0059] Here, the reference information 13B may be a set of data in which the battery-specific information of a legitimate battery is associated as a reference for each battery ID that identifies a legitimate battery.

[0060] The evaluation unit 15C is a processing unit that evaluates the user based on the results of the authenticity determination of the battery brought in by the user. In one embodiment, the evaluation unit 15C can calculate various evaluation values ​​based on the results of the authenticity determination by the determination unit 15B. As an example of such evaluation values, the evaluation unit 15C can calculate the frequency with which the battery brought in by the user to the station 30 is determined to be genuine. As another example, the evaluation unit 15C can calculate the frequency with which the battery brought in by the user to the station 30 is determined to be counterfeit. These frequencies may include the number of times, probabilities, probability distributions, etc. Hereinafter, the number of times or the probability with which the battery brought in by the user to the station 30 is determined to be genuine may be referred to as "number of times a genuine product is brought in" or "probability of bringing in a genuine product." Furthermore, the number of times or the probability with which the battery brought in by the user to the station 30 is determined to be counterfeit may be referred to as "number of times a counterfeit product is brought in" or "probability of bringing in a counterfeit product." As a further example, the evaluation unit 15C can calculate statistical evaluation values ​​for each station 30, such as the probability of a user bringing in genuine products and the probability of a user bringing in counterfeit products. The evaluation values ​​of the users calculated in this way are then newly registered or overwritten, and the statistical evaluation values ​​of all users using the station are newly registered or overwritten, and these are performed on the evaluation information 13C stored in the storage unit 13.

[0061] Figure 5 is a schematic diagram showing an example of updating evaluation information 13C. As an example of evaluation information 13C, Figure 5 illustrates the user evaluation table 13C1, which holds the user's evaluation value. As shown in Figure 5, the user evaluation table 13C1 is a table that associates items such as user ID, latest judgment result, number of times genuine products were brought in (probability), number of times counterfeit products were brought in (probability), and others.

[0062] Of these items, "Latest Judgment Result" refers to the most recent authenticity judgment result for the battery related to the user ID. "Number of Genuine Products Brought In (Probability)" refers to the number of times (probability) that a battery brought in by the user to Station 30 has been judged as genuine. "Number of Non-Genuine Products Brought In (Probability)" refers to the number of times (probability) that a battery brought in by the user to Station 30 has been judged as non-genuine. "Other" may be any evaluation value or statistical value other than the evaluation values ​​already listed. For example, this could be the battery's operating period (XXXX / X / X / X o'clock to XXXX / X / X / Y o'clock), the battery's power consumption (SOC 100% to 50% reduction), or their statistical values ​​(average, maximum, minimum).

[0063] Here, Figure 5 shows an example of updating the user evaluation table 13C1 when the result of the authenticity check for user ID "K_00002" is "non-genuine product". Specifically, the upper part of Figure 5 shows the user evaluation table 13C1 before the update, and the lower part of Figure 5 shows the user evaluation table 13C1 after the update.

[0064] In this case, the latest judgment result for user ID "K_00002" is updated from "genuine" to "non-genuine". Furthermore, the number of times user ID "K_00002" has brought in non-genuine items is incremented by 1 from "2" because the result of this authenticity judgment is "non-genuine". On the other hand, the number of times user ID "K_00002" has brought in genuine items does not change and is therefore not updated.

[0065] In this case, if the authenticity check for user ID "K_00002" results in "non-genuine product," the latest number of times a genuine product has been brought in remains at "7" and is not updated, while the latest number of times a non-genuine product has been brought in is incremented from "2" to "3." Although not shown in the diagram, the total number of times products have been brought in is also incremented from "9 (=7+2)" to "10."

[0066] In addition, the probability of user ID "K_00002" bringing in genuine products is updated from "78%" to "70%" by dividing the most recent number of genuine product brings-in attempts ("7") by the total number of recent bring-in attempts ("10"). On the other hand, the probability of user ID "K_00002" bringing in counterfeit products is updated from "22%" to "30%" by dividing the most recent number of counterfeit product brings-in attempts ("2") by the total number of recent bring-in attempts ("10").

[0067] Figure 6 is a schematic diagram showing an example of updating evaluation information 13C. As an example of evaluation information 13C, Figure 6 illustrates a station evaluation table 13C2 that holds statistical values ​​of evaluation values ​​for all users using station 30. As shown in Figure 6, the station evaluation table 13C2 is a table that associates items such as the station and the average value of the probability of bringing in genuine products.

[0068] Here, Figure 6 shows an example of updating the station evaluation table 13C2 when the authenticity of a battery brought in by user ID "K_00002" to station "Koto Ward A" is determined to be "non-genuine." Specifically, the upper part of Figure 6 shows the station evaluation table 13C2 before the update, and the lower part of Figure 6 shows the station evaluation table 13C2 after the update.

[0069] In this case, the total number of times all users bring in genuine products at station "Koto Ward A" increases, while the total number of times all users bring in genuine products remains unchanged. As a result, the probability of all users bringing in genuine products at station "Koto Ward A" is updated from "80%" to "79%".

[0070] Figure 6 shows an example where the average probability of users bringing in genuine products is calculated for each station 30, but it is not limited to this. For example, the average probability of users bringing in genuine products may be calculated by regional division, such as city, town, ward, or prefecture. In addition, the average probability of users bringing in genuine products may be calculated by day of the week, weekday / holiday, or time of day. Furthermore, Figure 6 shows an example where the average probability of all users bringing in genuine products to station 30 is calculated, but the average probability of bringing in counterfeit products may also be calculated, and any arbitrary statistical values, such as median, mode, maximum, and minimum, may also be calculated.

[0071] Furthermore, Figures 5 and 6 illustrate the user evaluation table 13C1 and the station evaluation table 13C2, but these are merely examples, and the data structure is not limited to a relational database. For example, the data may be described in tag format using a markup language such as XML (Extensible Markup Language), or it may be described using commas and line breaks, such as CSV (Comma-Separated Values).

[0072] Returning to the explanation of Figure 4, the reception unit 15D is a processing unit that receives various requests from the client terminal 50. One aspect of this is that the reception unit 15D can receive evaluation output requests from the client terminal 50 that request the output of user evaluations. When receiving such evaluation output requests, the reception unit 15D can accept requests for specifying the stations to be included in the user evaluation output, the regional classification, etc. In addition, the reception unit 15D can also accept requests for specifying the output format of the user evaluation, such as map format or list format, and items related to the user evaluation, such as the number of times genuine products were brought in, the probability of bringing in genuine products, the number of times counterfeit products were brought in, and the probability of bringing in counterfeit products.

[0073] The output unit 15E is a processing unit that performs various output controls for the client terminal 50. As an example, the output unit 15E controls the display on the display unit (not shown) of the client terminal 50. Here, display output is given as an example of an output controlled by the output unit 15E, but naturally, other outputs such as print output and audio output may also be controlled.

[0074] One aspect of the system is that the output unit 15E can map and output user ratings on a map. Figure 7 shows an example of the display on the client terminal 50. As shown in Figure 7, the client terminal 50 displays map data 41 relating to the area around station "Koto-ku A" whose designation has been received by the reception unit 15D. For example, the map data 41 may plot a symbol representing station "Koto-ku A" at the coordinates corresponding to the location of station "Koto-ku A," such as a star in the example shown in Figure 7. Furthermore, the map data 41 may plot a symbol representing a user at the coordinates corresponding to the address of the user using the designated station "Koto-ku A," such as a marker in the example shown in Figure 7. In addition, each marker may be associated with and displayed the user ID and rating value of the user corresponding to the marker. For example, Figure 7 shows an example where the probability of bringing in genuine products is associated with markers 41A and 41B for two users, user ID "K_00001" and user ID "K_00002", who are included in the user evaluation table 13C1 shown in Figure 5.

[0075] According to this map data 41, it is possible to view an overview of the addresses of users using Station "Koto Ward A," and to perform relative evaluations of users. For example, based on a user evaluation where the probability of bringing in genuine products is higher for user ID "K_00001" than for user ID "K_00002," it becomes possible to perform customer analysis and conclude that user ID "K_00001" is a better customer than user ID "K_00002." This allows for measures to be taken to give preferential treatment to user ID "K_00001" in terms of fees and point value rewards compared to user ID "K_00002."

[0076] Although Figure 7 shows an example where the marker display format is the same for each user, the marker display format for users whose probability of bringing in genuine products is below the lower limit, or for users whose probability of bringing in counterfeit products exceeds the upper limit, can be distinguished from the marker display format for other users.

[0077] Another aspect is that the output unit 15E can output a list of user ratings for each user. Figure 8 shows an example of the display on the client terminal 50. As an example, Figure 8 shows a list 42 in which the user rating table 13C1 shown in Figure 5 is sorted in descending order of the probability of bringing in counterfeit products. As shown in Figure 8, the list 42 is displayed sorted in descending order from users with a high probability of bringing in counterfeit products. With such a display of list 42, it is easy to identify users who frequently bring in counterfeit batteries to the station 30, and thus it becomes easier to find suspicious individuals who engage in fraudulent activities.

[0078] Although not shown in the diagram, users whose probability of bringing in counterfeit products falls into a specific high number, or users whose probability of bringing in counterfeit products exceeds the upper limit, can also be added to a blacklist. Furthermore, Figure 8 shows an example where the user evaluation table 13C1 shown in Figure 5 is sorted in descending order of the probability of bringing in counterfeit products, but it is not limited to this. For example, the user evaluation table 13C1 shown in Figure 5 may be sorted in descending order of the probability of bringing in genuine products. In this case, it is easy to identify users who frequently bring in genuine batteries to Station 30, making it easier to retain valuable customers.

[0079] As a further aspect, the output unit 15E can output statistical values ​​of user ratings for each station 30 on the map. Figure 9 shows an example of the display on the client terminal 50. Figure 9 shows map data 43 for a region including multiple districts, for example, the 23 wards of Tokyo. As shown in Figure 9, the map data 43 plots a symbol representing each station 30 at coordinates corresponding to the location of that station 30.

[0080] For example, in the case of the stations included in the station evaluation table 13C2 shown in Figure 6, the symbol 43A representing station "Koto-ku A" is plotted at the coordinates corresponding to the location of station "Koto-ku A". Furthermore, the symbol 43B representing station "Koto-ku B" is plotted at the coordinates corresponding to the location of station "Koto-ku B". Furthermore, the symbol 43C representing station "Minato-ku A" is plotted at the coordinates corresponding to the location of station "Minato-ku A".

[0081] The display format of these symbols 43A to 43C, such as the filled-in state, will change according to the overall probability of users bringing in genuine products to each station in "Koto Ward A," "Koto Ward B," and "Minato Ward A."

[0082] In other words, the fills of symbols 43A to 43C are distinguished according to the legend shown in Figure 9. For example, as shown in the station evaluation table 13C2 in Figure 6, the probability of all users bringing in genuine products at station "Koto-ku A" is "79%", so symbol 43A is displayed as white. Also, the probability of all users bringing in genuine products at station "Koto-ku B" is "81%", so symbol 43B is displayed as a dotted pattern. Furthermore, the probability of all users bringing in genuine products at station "Minato-ku A" is "95%", so symbol 43C is displayed as black.

[0083] Map data 43 like this makes it possible to evaluate the customer base of users who use Station 30. For example, taking Station "Minato-ku A" as an example, the average probability of users bringing in genuine products is "95%", which is higher than other stations, so a market analysis can be conducted that the customer base of users who use Station 30 is good.

[0084] In addition, the map data 43 displays areas that have a top-ranking probability of users bringing in genuine products, such as the top two areas, differently from other areas. For example, in the example shown in Figure 9, the areas of Chiyoda Ward and Minato Ward, which have the highest and second-highest probability of users bringing in genuine products, are displayed with diagonal hatching. From one perspective, this enables the provision of information that contributes to the evaluation of operational performance for businesses operating Station 30. From another perspective, it enables the provision of recommendations that increase the motivation for businesses considering opening new or additional stations in the Chiyoda Ward and Minato Ward areas. Furthermore, it is possible to provide information on national and local government subsidy programs in connection with the opening or additional operation of stations.

[0085] Another aspect is that the output unit 15E can output statistical values ​​for the overall evaluation of all stations 30 belonging to each district. Figure 10 shows an example of the display on the client terminal 50. As an example, Figure 10 shows a list 44 in which the average probability of bringing in genuine products for all stations in each district is calculated using the station evaluation table 13C2 shown in Figure 6, and the average probability of bringing in genuine products for each district is sorted in descending order. As shown in Figure 10, the list 44 is displayed sorted in descending order from users with a high probability of bringing in genuine products. With this display of list 44, it is easy to identify districts where users are likely to bring in genuine batteries, making it possible to recommend districts suitable for opening new stations or adding new stations.

[0086] In this example, the output unit 15E executes processing when it receives an evaluation output request from the client terminal 50, but the conditions for initiating processing are not limited to this. For example, the display on the client terminal 50 shown in Figures 7 to 10 can also be generated as a report for any period, such as weekly, monthly, quarterly, semi-annually, or annually.

[0087] <Processing flow> Figure 11 is a flowchart showing the procedure for user evaluation processing. This process can be started as an example when a user ID is received from station 30. As shown in Figure 11, the provisioning unit 15A compares the user ID registered in user information 13A with the user ID received from station 30 and performs user authentication to determine whether or not the user is a legitimate user whose user ID is registered in user information 13A (step S101).

[0088] At this point, if user authentication is successful, that is, if the user is a legitimate user whose user ID is registered in user information 13A (step S101 Yes), the supply unit 15A outputs an instruction to station 30 to install the battery into an empty slot (step S102).

[0089] Then, when a user's battery is installed in an empty slot of the station 30, the supply unit 15A acquires the battery's unique information measured by the measurement unit 33 of the station 30 (step S103).

[0090] Next, the determination unit 15B determines whether the battery installed in the empty slot is genuine or not based on the result of comparing the battery-specific information of the battery acquired in step S103 with the battery-specific information of the reference stored in the reference information 13B (step S104).

[0091] If the battery is determined to be genuine (step S105 Yes), the supply unit 15A notifies station 30 of permission to replace the battery (step S106). Upon receiving this permission, station 30 is permitted to remove the battery from the charged slot.

[0092] On the other hand, if user authentication fails, or if the battery is determined to be counterfeit (step S101No or step S105No), the supply unit 15A performs the following process: the supply unit 15A notifies station 30 that battery replacement is not permitted (step S107). At station 30, which has been notified of this denial of replacement, removal of the battery from the charged slot is prohibited.

[0093] Subsequently, the evaluation unit 15C calculates user evaluation values, such as the probability of bringing in genuine products and the probability of bringing in counterfeit products, based on the results of the authenticity determination in step S105 (step S108).

[0094] Furthermore, the evaluation unit 15C calculates a statistical value of the overall evaluation value of all users of the station 30 used by that user, based on the user's evaluation value calculated in step S108 (step S109), and then terminates the process.

[0095] <One aspect of the effect> As described above, the server device 10 according to this embodiment acquires battery-specific information of the user's battery 3 that is installed in the slot of the station 30. Then, the server device 10 according to this embodiment performs a genuineness determination to determine whether the user's battery 3 is genuine or not based on the battery-specific information of the user's battery 3. After that, the server device 10 according to this embodiment evaluates the user based on the result of the genuineness determination of the user's battery 3. Then, the server device 10 according to this embodiment outputs the user evaluation to the client terminal 50. Therefore, the server device 10 according to this embodiment makes it possible to provide information that can evaluate the customer base of the user.

[0096] <Other Embodiments> Now, while embodiments of the present invention have been described, the present invention has various applications and may be implemented in various different forms other than those described above.

[0097] <Numerical values, etc.> The details described in the above embodiment, such as the number of magnetic sensors in the measuring unit 33 of station 30, are merely examples and can be changed. Furthermore, the flowchart described in the embodiment can also be modified within a consistent range.

[0098] <System> The processing procedures, control procedures, specific names, and various data and parameters shown in the above documents and drawings may be changed at will unless otherwise specified. For example, one or more of the functions of the supply unit 15A, determination unit 15B, evaluation unit 15C, reception unit 15D, and output unit 15E may be composed of separate devices.

[0099] Furthermore, the components of each illustrated device are functionally conceptual and do not necessarily need to be physically configured as shown. In other words, the specific forms of distribution and integration of each device are not limited to those shown. That is, all or part of them can be functionally or physically distributed and integrated in any units according to various loads and usage conditions. Note that each configuration may also be a physical configuration.

[0100] Furthermore, each processing function performed by each device may be implemented, in whole or in part, by a CPU (Central Processing Unit) and a program executed by that CPU, or by wired logic hardware.

[0101] <Hardware> Next, an example of the hardware configuration of the computer described in the embodiment will be explained. Figure 12 is a diagram showing an example of the hardware configuration. As shown in Figure 12, the information processing device 100 has a communication device 100a, an HDD (Hard Disk Drive) 100b, memory 100c, and a processor 100d. Note that each part shown in Figure 12 is interconnected by a bus or the like.

[0102] The communication device 100a is a network interface card or the like, and communicates with other servers. The HDD 100b stores programs and databases that operate the functions shown in Figure 4.

[0103] The processor 100d operates a process that performs the functions described in Figure 4 by reading a program that performs the same processing as the processing unit shown in Figure 4 from the HDD 100b or the like and loading it into memory 100c. For example, this process performs the same functions as the processing unit of the server device 10. Specifically, the processor 100d reads a program that has the same functions as the supply unit 15A, determination unit 15B, evaluation unit 15C, reception unit 15D, and output unit 15E from the HDD 100b or the like. Then, the processor 100d executes a process that performs the same processing as the supply unit 15A, determination unit 15B, evaluation unit 15C, reception unit 15D, and output unit 15E.

[0104] Thus, the information processing device 100 operates as an information processing device that executes an evaluation method by reading and executing a program. Furthermore, the information processing device 100 can also achieve the same functionality as the embodiment described above by reading the program from a recording medium using a media reader and executing the read program. It should be noted that the program referred to in this other embodiment is not limited to being executed by the information processing device 100. For example, the present invention can be similarly applied when another computer or server executes the program, or when they collaborate to execute the program.

[0105] The above program can be distributed via a network such as the Internet. Furthermore, the program can be recorded on any storage medium and executed by reading it from the medium by a computer. For example, the storage medium can be a hard disk, flexible disk (FD), CD-ROM, MO (Magneto-Optical disk), DVD (Digital Versatile Disc), etc.

[0106] <Other> Some examples of the combinations of technical features that will be disclosed are listed below.

[0107] (1) An acquisition unit that acquires battery-specific information of batteries installed in slots of a charging device capable of mounting and charging multiple batteries, A determination unit performs a determination of whether the battery is genuine or not based on a comparison of the battery's unique information with the battery's unique information of a genuine battery. An evaluation unit that evaluates the user who brought the battery to the charging facility based on the result of the authenticity determination of the battery, The system includes an output unit that outputs the user's evaluation by the evaluation unit, The evaluation unit evaluates the frequency with which the battery is determined to be a genuine product. An information processing device characterized by the following:

[0108] (2) The information processing device according to (1), characterized in that the evaluation unit calculates statistical values ​​of the user's evaluation for each charging facility, regional classification, day of the week, weekday, holiday, or time of day.

[0109] (3) The information processing device according to (1) or (2), characterized in that the output unit maps the user's evaluation onto a map and outputs it.

[0110] (4) The information processing device according to (3), characterized in that the output unit outputs statistical values ​​of evaluations among users of the charging facility in association with each charging facility on the map.

[0111] (5) The information processing device according to any one of (1) to (4), characterized in that the output unit outputs a list of user ratings for each user.

[0112] (6) An acquisition unit that acquires battery-specific information of batteries installed in slots of a charging device capable of mounting and charging multiple batteries, A determination unit performs a determination of whether the battery is genuine or not based on a comparison of the battery's unique information with the battery's unique information of a genuine battery. An evaluation unit that evaluates the user who brought the battery to the charging facility based on the result of the authenticity determination of the battery, The system includes an output unit that outputs the user's evaluation by the evaluation unit, The evaluation unit evaluates the frequency with which the battery is determined to be a counterfeit product that is not a genuine product. An information processing device characterized by the following:

[0113] (7) The information processing device according to (6), characterized in that the evaluation unit calculates statistical values ​​of the user's evaluation for each charging facility, regional classification, day of the week, weekday, holiday, or time of day.

[0114] (8) The information processing apparatus according to (6) or (7), characterized in that the output unit maps the user's evaluation onto a map and outputs it.

[0115] (9) The information processing device according to (8), characterized in that the output unit outputs statistical values ​​of evaluations among users of the charging equipment in association with each charging equipment on the map.

[0116] (10) The information processing apparatus according to any one of (6) to (9), characterized in that the output unit outputs a list in which the evaluation of each user is listed.

[0117] (11) Obtain battery-specific information of batteries installed in slots of a charging device capable of mounting and charging multiple batteries, Based on a comparison of the battery's unique information with that of a genuine battery, a determination is made to determine whether the battery is genuine or not. Based on the results of the authenticity determination of the battery, the user who brought the battery to the charging facility is evaluated. Output the user's evaluation, The computer performs the process, The evaluation process described above evaluates the frequency with which the battery is determined to be a genuine product. An evaluation method characterized by the following.

[0118] (12) Obtain battery-specific information of batteries installed in slots of a charging device capable of mounting and charging multiple batteries, Based on a comparison of the battery's unique information with that of a genuine battery, a determination is made to determine whether the battery is genuine or not. Based on the results of the authenticity determination of the battery, the user who brought the battery to the charging facility is evaluated. Output the user's evaluation, Let the computer perform the process, The evaluation process described above evaluates the frequency with which the battery is determined to be a genuine product. An evaluation program characterized by the following features.

[0119] (13) Obtain battery-specific information of batteries installed in slots of a charging device capable of mounting and charging multiple batteries, Based on a comparison of the battery's unique information with that of a genuine battery, a determination is made to determine whether the battery is genuine or not. Based on the results of the authenticity determination of the battery, the user who brought the battery to the charging facility is evaluated. Output the user's evaluation, The computer performs the process, The evaluation process described above evaluates the frequency with which the battery is determined to be a counterfeit product that is not a genuine product. An evaluation method characterized by the following.

[0120] (14) Obtain battery-specific information of batteries installed in slots of charging equipment capable of mounting and charging multiple batteries, Based on a comparison of the battery's unique information with that of a genuine battery, a determination is made to determine whether the battery is genuine or not. Based on the results of the authenticity determination of the battery, the user who brought the battery to the charging facility is evaluated. Output the user's evaluation, Let the computer perform the process, The evaluation process described above evaluates the frequency with which the battery is determined to be a counterfeit product that is not a genuine product. An evaluation program characterized by the following features. [Explanation of Symbols]

[0121] 1. Battery sharing system 3 Batteries 10 Server devices 11. Communication Control Unit 13 Storage section 13A User Information 13B Reference Information 13C Evaluation Information 15 Control Unit 15A supply department 15B Judgment section 15C Evaluation Department 15D Reception Desk 15E Output Section 30 stations 31 Information Reading Unit 33 Measuring part 50 client terminals

Claims

1. An acquisition unit that acquires battery-specific information of batteries installed in slots of a charging device capable of mounting and charging multiple batteries, A determination unit performs a determination of whether the battery is genuine or not based on a comparison of the battery's unique information with the battery's unique information of a genuine battery. An evaluation unit that evaluates the user who brought the battery to the charging facility based on the result of the authenticity determination of the battery, The system includes an output unit that outputs the user's evaluation by the evaluation unit, The evaluation unit evaluates the frequency with which the battery is determined to be a genuine product. An information processing device characterized by the following:

2. The information processing device according to claim 1, characterized in that the evaluation unit calculates statistical values ​​of the user's evaluation for each charging facility, regional classification, day of the week, weekday, holiday, or time of day.

3. The information processing apparatus according to claim 2, characterized in that the output unit maps the user's evaluation onto a map and outputs it.

4. The information processing device according to claim 3, characterized in that the output unit outputs statistical values ​​of user evaluations of each charging facility on the map in association with the charging facility.

5. The information processing apparatus according to any one of claims 1 to 4, characterized in that the output unit outputs a list containing a list of the user's evaluation for each user.

6. An acquisition unit that acquires battery-specific information of batteries installed in slots of a charging device capable of mounting and charging multiple batteries, A determination unit performs a determination of whether the battery is genuine or not based on a comparison of the battery's unique information with the battery's unique information of a genuine battery. An evaluation unit that evaluates the user who brought the battery to the charging facility based on the result of the authenticity determination of the battery, The system includes an output unit that outputs the user's evaluation by the evaluation unit, The evaluation unit evaluates the frequency with which the battery is determined to be a counterfeit product that is not a genuine product. An information processing device characterized by the following:

7. The information processing device according to claim 6, characterized in that the evaluation unit calculates statistical values ​​of the user's evaluation for each charging facility, regional classification, day of the week, weekday, holiday, or time of day.

8. The information processing apparatus according to claim 7, characterized in that the output unit maps the user's evaluation onto a map and outputs it.

9. The information processing device according to claim 8, characterized in that the output unit outputs statistical values ​​of user evaluations of each charging facility on the map in association with the charging facility.

10. The information processing apparatus according to any one of 6 to 9, characterized in that the output unit outputs a list containing the user's evaluation for each user.

11. The battery-specific information of batteries installed in the slots of a charging device capable of housing and charging multiple batteries is obtained. Based on a comparison of the battery's unique information with that of a genuine battery, a determination is made to determine whether the battery is genuine or not. Based on the results of the authenticity determination of the battery, the user who brought the battery to the charging facility is evaluated. Output the user's evaluation, The computer performs the process, The evaluation process described above evaluates the frequency with which the battery is determined to be a genuine product. An evaluation method characterized by the following.

12. The battery-specific information of batteries installed in the slots of a charging device capable of housing and charging multiple batteries is obtained. Based on a comparison of the battery's unique information with that of a genuine battery, a determination is made to determine whether the battery is genuine or not. Based on the results of the authenticity determination of the battery, the user who brought the battery to the charging facility is evaluated. Output the user's evaluation, Let the computer perform the process, The evaluation process described above evaluates the frequency with which the battery is determined to be a genuine product. An evaluation program characterized by the following features.

13. The battery-specific information of batteries installed in the slots of a charging device capable of housing and charging multiple batteries is obtained. Based on a comparison of the battery's unique information with that of a genuine battery, a determination is made to determine whether the battery is genuine or not. Based on the results of the authenticity determination of the battery, the user who brought the battery to the charging facility is evaluated. Output the user's evaluation, The computer performs the process, The evaluation process described above evaluates the frequency with which the battery is determined to be a counterfeit product that is not a genuine product. An evaluation method characterized by the following.

14. The battery-specific information of batteries installed in the slots of a charging device capable of housing and charging multiple batteries is obtained. Based on a comparison of the battery's unique information with that of a genuine battery, a determination is made to determine whether the battery is genuine or not. Based on the results of the authenticity determination of the battery, the user who brought the battery to the charging facility is evaluated. Output the user's evaluation, Let the computer perform the process, The evaluation process described above evaluates the frequency with which the battery is determined to be a counterfeit product that is not a genuine product. An evaluation program characterized by the following features.

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